An AutoML Library made with Optuna and PyTorch Lightning

Related tags

Deep Learningpytorchartificial-intelligencedeeplearningautomlmahcine-learningoptunaautoai
Overview

logo

An AutoML Library made with Optuna and PyTorch Lightning

Maintainability Rating Reliability Rating Security Rating codecov Documentation Status DOI Slack

PyPI - Python Version PyPI version Downloads Downloads license

Installation

Recommended

pip install -U gradsflow

From source

pip install git+https://github.com/gradsflow/[email protected]

Highlights

What is Gradsflow?

Gradsflow is based on Optuna and PyTorch Lightning ⚡️ . It leverages PyTorch Lightning Flash so that you don't have to write any PyTorch or Optuna code for model building or hyperparameter tuning 🚀

Although you might want to train a custom model and search hyperparameters, You can easily integrate any PyTorch/Lightning Flash Model with Gradsflow AutoModel ✨

  • gradsflow.core: Core defines the building blocks of AutoML tasks.

  • gradsflow.taskauto: AutoTasks defines different ML/DL tasks which is provided by Gradsflow AutoML API.

📑 Check out notebooks examples.

💬 Join the Slack group to chat with us.

🤗 Contribute

Contributions of any kind are welcome. Please check the Contributing Guidelines before contributing.

Code Of Conduct

We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.

Read full Contributor Covenant Code of Conduct

Acknowledgement

Gradsflow is built with help of Optuna and PyTorch Lightning 💜

Comments
  • Tensorboard callbacks

    Tensorboard callbacks

    Changes

    Fixes #123

    Type of change

    • [ ] 📚 Documentation Update
    • [ ] 🧪 Tests Cases
    • [ ] 🐞 Bug fix (non-breaking change which fixes an issue)
    • [x] 🔬 New feature (non-breaking change which adds functionality)
    • [ ] 🚨 Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] 📝 This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [ ] I have commented my code, particularly in hard-to-understand areas
    • [ ] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [x] Did you update CHANGELOG (docs/CHANGELOG.md) in case of a major change?

    Solves issue #123 I have added basic tensorboard callback functionality which include: logging the loss and accuracy for both training and validation. Is there any other functionality of tensorboard that I need to add @aniketmaurya

    documentation enhancement 
    opened by arvindmuralie77 10
  • (PYL-W0613) Function contains unused argument

    (PYL-W0613) Function contains unused argument

    Description

    An unused argument can lead to confusions. It should be removed. If this variable is necessary, name the variable _ or start the name with unused or _unused.

    Occurrences

    There are 5 occurrences of this issue in the repository.

    See all occurrences on DeepSource → deepsource.io/gh/gradsflow/gradsflow/issue/PYL-W0613/occurrences/

    no-issue-activity 
    opened by aniketmaurya 8
  • Add a conda installation option

    Add a conda installation option

    I believe, adding a conda installation option for gradsflow will be helpful for growth and adoption of the library. I have started the work on it already. Once the :bulb: PR gets approved and merged, you will have gradsflow on conda-forge.

    conda install -c conda-forge gradsflow

    :no_entry: :fire: Roadblock to conda-forge packaging

    However, there seems to be a problem: it appears that this library is somewhat tightly coupled with comet_ml (which has a proprietary license -- NOT OpenSource). If you could work on making this a weak coupling, or better yet make comet_ml optional (even for tests), that would allow us to make gradsflow available on conda-forge.

    opened by sugatoray 8
  • implement callbacks

    implement callbacks

    🚘 Callback Roadmap

    • [x] #120 - @aniketmaurya #121
    • [ ] #122 - @aniketmaurya https://github.com/gradsflow/gradsflow/pull/151
    • [x] Tensorboard #123
    • [x] Comet #125
    • [x] WandB Callback #124
    • [x] CSV Logger - @aniketmaurya #116
    enhancement help wanted hacktoberfest no-issue-activity 
    opened by aniketmaurya 7
  • 🚀 CLI

    🚀 CLI

    Changes

    New feature: AutoML Training with CLI

    Type of change

    • [ ] 📚 Documentation Update
    • [ ] 🧪 Tests Cases
    • [ ] 🐞 Bug fix (non-breaking change which fixes an issue)
    • [x] 🔬 New feature (non-breaking change which adds functionality)
    • [ ] 🚨 Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] 📝 This change requires a documentation update

    Checklist

    • [ ] My code follows the style guidelines of this project
    • [ ] I have performed a self-review of my own code
    • [ ] I have commented my code, particularly in hard-to-understand areas
    • [ ] I have made corresponding changes to the documentation
    • [ ] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement API design no-pr-activity 
    opened by aniketmaurya 5
  • Argparse support added.

    Argparse support added.

    Feature Request

    Type of change

    • [X] 🔬 New feature (non-breaking change which adds functionality)

    Hi @aniketmaurya,

    I added the argparser property for the image_classifier.py file.

    example no-pr-activity 
    opened by kadirnar 4
  • 🔥 Support Schedulers

    🔥 Support Schedulers

    Changes

    Fixes #88

    Type of change

    • [ ] 📚 Documentation Update
    • [ ] 🧪 Tests Cases
    • [ ] 🐞 Bug fix (non-breaking change which fixes an issue)
    • [x] 🔬 New feature (non-breaking change which adds functionality)
    • [ ] 🚨 Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] 📝 This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement test no-pr-activity 
    opened by aniketmaurya 4
  • ☄️ comet integration

    ☄️ comet integration

    Changes

    Fixes #125

    Type of change

    • [ ] 📚 Documentation Update
    • [ ] 🧪 Tests Cases
    • [ ] 🐞 Bug fix (non-breaking change which fixes an issue)
    • [x] 🔬 New feature (non-breaking change which adds functionality)
    • [ ] 🚨 Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [ ] 📝 This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    • [ ] Did you update CHANGELOG in case of a major change?
    enhancement test example API design 
    opened by aniketmaurya 4
  • Automatic Task Selection

    Automatic Task Selection

    Is your feature request related to a problem? Please describe.

    Create Tasks directly from AutoClassifier instead of explicitly calling AutoImageClassification or AutoTextSummarization

    Describe the solution you'd like

    model=AutoClassification(datamodule, data_type="image")  # expected `data_type`-> image, text, infer
model.hp_tune()
    enhancement good first issue help wanted 
    opened by aniketmaurya 4
  • migrate to ray_tune

    migrate to ray_tune

    Changes

    Fixes #35

    Type of change

    • [ ] Documentation Update
    • [ ] Bug fix (non-breaking change which fixes an issue)
    • [x] New feature (non-breaking change which adds functionality)
    • [x] Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • [x] This change requires a documentation update

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    documentation enhancement test example API design 
    opened by aniketmaurya 4
  • Adding example notebook for AutoSummarization

    Adding example notebook for AutoSummarization

    Changes

    Fixes #5 (issue)

    Type of change

    • [x] New feature (non-breaking change which adds functionality)

    Checklist

    • [x] My code follows the style guidelines of this project
    • [x] I have performed a self-review of my own code
    • [x] I have commented my code, particularly in hard-to-understand areas
    • [x] I have made corresponding changes to the documentation
    • [x] My changes generate no new warnings
    example 
    opened by gagan3012 4
  • [pre-commit.ci] pre-commit suggestions

    [pre-commit.ci] pre-commit suggestions

    opened by pre-commit-ci[bot] 0
Releases(v0.0.8.post1)

  • v0.0.8.post1(May 18, 2022)

    What's Changed

    • 🌟 format docs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/170
    • [Snyk] Fix for 3 vulnerabilities by @snyk-bot in https://github.com/gradsflow/gradsflow/pull/171
    • Tensorboard callbacks by @arvindmuralie77 in https://github.com/gradsflow/gradsflow/pull/173
    • update docs :memo: by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/175
    • anti pattern fixes from deepsource by @skp-github in https://github.com/gradsflow/gradsflow/pull/176
    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/177
    • Demo & fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/180
    • Upgrade deps by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/181
    • 🐛 minor bug fixes and reformat by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/182
    • fix examples and Flash trainer by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/183
    • refactor apis by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/184
    • Fix examples by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/185

    New Contributors

    • @snyk-bot made their first contribution in https://github.com/gradsflow/gradsflow/pull/171
    • @arvindmuralie77 made their first contribution in https://github.com/gradsflow/gradsflow/pull/173
    • @skp-github made their first contribution in https://github.com/gradsflow/gradsflow/pull/176

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.8...v0.0.8.post1

    Source code(tar.gz)
    Source code(zip)

  • v0.0.8(Jan 14, 2022)

    What's Changed

    • 🤩 refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137
    • added conda installation instruction by @sugatoray in https://github.com/gradsflow/gradsflow/pull/144
    • recursively exclude tests folder and its contents by @sugatoray in https://github.com/gradsflow/gradsflow/pull/141
    • add model.save test by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/147
    • remove redundant to_item by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/152
    • refactor Tracker by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/153
    • Change methods not using its bound instance to staticmethods by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/156
    • refactor metrics by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/159
    • add dataoader length by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/160
    • fix model checkpoint folder not found by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/162
    • Fix metrics update by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/163
    • Replace multiple == checks with in by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/167
    • increment current_epoch after each epoch by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/169
    • Wandb Implementation by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/168

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.8

    Source code(tar.gz)
    Source code(zip)

  • v0.0.8.dev1(Jan 12, 2022)

    What's Changed

    • optional pl dependency by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/133
    • minor fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/134
    • 📚 update example by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/135
    • 🤩 refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137
    • remove dependencies by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/139
    • added conda installation instruction by @sugatoray in https://github.com/gradsflow/gradsflow/pull/144
    • recursively exclude tests folder and its contents by @sugatoray in https://github.com/gradsflow/gradsflow/pull/141
    • pin flash version to 0.5.1 by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/143
    • refactor backend by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/146
    • Remove flit by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/148
    • add model.save test by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/147
    • Update main.yml by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/149
    • remove redundant to_item by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/152
    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/155
    • refactor Tracker by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/153
    • Change methods not using its bound instance to staticmethods by @deepsource-autofix in https://github.com/gradsflow/gradsflow/pull/156
    • 📝 fix documentation & examples by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/158
    • refactor metrics by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/159
    • add dataoader length by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/160
    • fix model checkpoint folder not found by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/162
    • Fix metrics update by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/163

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.8.dev1

    Source code(tar.gz)
    Source code(zip)

  • v0.0.7.post2(Dec 11, 2021)

    What's Changed

    • optional pl dependency by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/133
    • minor fixes by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/134
    • 📚 update example by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/135
    • 🤩 refactor core by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/136
    • cleanup APIs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/137

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.7...v0.0.7.post2

    Source code(tar.gz)
    Source code(zip)

  • v0.0.7(Nov 26, 2021)

    Highlights

    • ☄️ comet integration #129
    • add model checkpoint callback #121
    • 📝 add csv logger #116
    • 🚀 add train_eval_callback #111
    • 🪄 add Average Meter #109
    • fix device issue in metric calculation PR #106

    What's Changed

    • [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in https://github.com/gradsflow/gradsflow/pull/98
    • clean docs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/100
    • fix optimizer by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/102
    • fix device issue in metric calculation by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/106
    • ✨ refactor tuner by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/107
    • 📚 add example & better intro by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/108
    • 🪄 add Average Meter by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/109
    • Fixes metrics device handling by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/110
    • 🚀 add train_eval_callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/111
    • refactor training callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/112
    • 🔥Data refactor by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/113
    • 🚀 Bump test coverage by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/114
    • fix live display error on multiple runs by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/115
    • 📝 add csv logger by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/116
    • ✨refactor base model by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/118
    • ☘️ add codecarbon callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/119
    • add model checkpoint callback by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/121
    • fix loss compile by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/126
    • add requirement decorator by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/128
    • Refactor callback runner by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/130
    • ☄️ comet integration by @aniketmaurya in https://github.com/gradsflow/gradsflow/pull/129

    New Contributors

    • @pre-commit-ci made their first contribution in https://github.com/gradsflow/gradsflow/pull/98

    Full Changelog: https://github.com/gradsflow/gradsflow/compare/v0.0.6...v0.0.7

    Source code(tar.gz)
    Source code(zip)

  • v0.0.6(Oct 4, 2021)

    0.0.6

    • 🎉 Revamp Callbacks and Training #94
    • ✨ refactor data handling 📝 docs update. PR #91
    • integrate torchmetrics. PR #80
    • callbacks & 🤑 ProgressCallback. PR #76
    • 🔥 Add AutoModel Tuner. PR #74
    • refactor APIs - Simplify API & add model.compile(...). PR #73
    • 🤗 integrate HF Accelerator. PR #71
    Source code(tar.gz)
    Source code(zip)

  • v0.0.5(Sep 26, 2021)

    What is New?

    • Keras style Model Training API 🎉
    • Remote Dataset Loader - create dataloader from any cloud Bucket ☁️
    • Datagenerator for Image Classification (more to come soon...)

    📚 Documentation & Examples

    To install $ pip install -U gradsflow

    Release Notes

    • 🔥 Add custom training loop with model.fit. PR #63 Done by @aniketmaurya
    • ☁️ Add ray.data - remote dataset loader. PR #61 Done by @aniketmaurya
    • 🎉 Add AutoDataset - Encapsulate datamodule and dataloaders. PR #59 Done by @aniketmaurya
    • 🌟 Add Autotask feature. PR #54 Done by @gagan3012
    • ✨ Add AutoTrainer to support plain torch training loop and other torch frameworks. PR #53
    Source code(tar.gz)
    Source code(zip)

  • v0.0.5a0(Sep 25, 2021)

    Release Notes

    🔥 Add custom training loop with model.fit. PR #63 Done by @aniketmaurya ☁️ Add ray.data - remote dataset loader. PR #61 Done by @aniketmaurya 🎉 Add AutoDataset - Encapsulate datamodule and dataloaders. PR #59 Done by @aniketmaurya 🌟 Add Autotask feature. PR #54 Done by @gagan3012 ✨ Add AutoTrainer to support plain torch training loop and other torch frameworks. PR #53

    $ pip install gradsflow==0.0.5a0

    📚 Get started with Documentation

    Source code(tar.gz)
    Source code(zip)

  • v0.0.4(Sep 3, 2021)

    Latest Changes

    • fix best checkpoints model loading #52
    • 🚀 feature/fix train arguments docs #44
    • Publish Python 🐍 distributions 📦 to PyPI #42
    Source code(tar.gz)
    Source code(zip)

  • v0.0.3(Aug 30, 2021)

    0.0.3

    Latest Changes

    Get Started Now

    📚 Documentation: docs.gradsflow.com

    $ pip install -U gradsflow

    Example

    from gradsflow import AutoImageClassifier

from flash.core.data.utils import download_data
from flash.image import ImageClassificationData


data_dir = "/Users/aniket/personal/gradsflow/gradsflow/data/"
download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", data_dir)
datamodule = ImageClassificationData.from_folders(
    train_folder=f"{data_dir}/hymenoptera_data/train/",
    val_folder=f"{data_dir}/hymenoptera_data/val/",
)

model = AutoImageClassifier(
    datamodule,
    max_epochs=2,
    n_trials=4,
    optimization_metric="val_accuracy",
    timeout=50,
)

print("AutoImageClassifier initialised!")
model.hp_tune(gpu=1)
    Source code(tar.gz)
    Source code(zip)

  • v0.0.3a2(Aug 29, 2021)

    • migrate to ray_tune 🌟. Read more here. PR #36 by @aniketmaurya.
    • render jupyter notebooks in documentation. PR #38 by @aniketmaurya.

    $ pip install -U gradsflow==0.0.3a2

    📝 Read more on documentation

    Source code(tar.gz)
    Source code(zip)

  • v0.0.3a1(Aug 26, 2021)

  • v0.0.2(Aug 26, 2021)

  • v0.0.1(Aug 25, 2021)

    Release Notes

    0.0.1

    What is Gradsflow?

    Gradsflow is based on Optuna and PyTorch Lightning ⚡️. It leverages PyTorch Lightning Flash so that you don't have to write any PyTorch or Optuna code for model building or hyperparameter tuning 🚀

    Although you might want to train a custom model and search hyperparameters, You can easily integrate any PyTorch/Lightning Flash Model with Gradsflow AutoModel ✨

    gradsflow.core: Core defines the building blocks of AutoML tasks.

    gradsflow.taskauto: AutoTasks defines different ML/DL tasks which is provided by Gradsflow AutoML API.

    Image classification example

        from flash.core.data.utils import download_data
    from flash.image import ImageClassificationData

    from gradsflow import AutoImageClassifier

    # 1. Create the DataModule
    download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", "./data")

    datamodule = ImageClassificationData.from_folders(
        train_folder="data/hymenoptera_data/train/",
        val_folder="data/hymenoptera_data/val/",
    )

    suggested_conf = dict(
        optimizers=["adam", "sgd"],
        lr=(5e-4, 1e-3),
    )
    model = AutoImageClassifier(datamodule,
                                suggested_conf=suggested_conf,
                                max_epochs=10,
                                optimization_metric="val_accuracy",
                                timeout=300)
    model.hp_tune()
    Source code(tar.gz)
    Source code(zip)

  • v0.0.1b1(Aug 24, 2021)

  • 0.0.1a1(Aug 22, 2021)

    • Added AutoImageClassification
    • Added AutoTextClassification

    Example

    model = AutoImageClassifier(datamodule,
                            suggested_backbones=['ssl_resnet18'],
                            suggested_conf=suggested_conf,
                            max_epochs=1,
                            optimization_metric="val_accuracy",
                            timeout=30)

print("AutoImageClassifier initialised!")
model.hp_tune()
    Source code(tar.gz)
    Source code(zip)
Owner
GradsFlow
No Code Artificial Intelligence
GradsFlow
GitHub Repository https://docs.gradsflow.com/
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ

Jerry Jiarui XU 1.1k Dec 29, 2022
Train an imgs.ai model on your own dataset

imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings.

Fabian Offert 5 Dec 21, 2021
Denoising images with Fourier Ring Correlation loss

Denoising images with Fourier Ring Correlation loss The python code accompanies the working manuscript Image quality measurements and denoising using

2 Mar 12, 2022
The DL Streamer Pipeline Zoo is a catalog of optimized media and media analytics pipelines.

The DL Streamer Pipeline Zoo is a catalog of optimized media and media analytics pipelines. It includes tools for downloading pipelines and their dependencies and tools for measuring their performace

8 Dec 04, 2022
Conditional Generative Adversarial Networks (CGAN) for Mobility Data Fusion

This code implements the paper, Kim et al. (2021). Imputing Qualitative Attributes for Trip Chains Extracted from Smart Card Data Using a Conditional Generative Adversarial Network. Transportation Re

Eui-Jin Kim 2 Feb 03, 2022
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

Rydin 28 Dec 10, 2022
MPViT:Multi-Path Vision Transformer for Dense Prediction

MPViT : Multi-Path Vision Transformer for Dense Prediction This repository inlcu

Youngwan Lee 272 Dec 20, 2022
MTA:SA Server Configer.

MTAConfiger MTA:SA Server Configer. Hi 👋 , I'm Alireza A Python Developer Boy 🔭 I’m currently working on my C# projects 🌱 I’m currently Learning CS

3 Jun 07, 2022
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme (NeurIPS2021)

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme (NeurIPS2021) Overview Prerequisites Linux Pytho

Shaojie Li 34 Mar 31, 2022
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.

FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.

0 Apr 02, 2021
Relaxed-machines - explorations in neuro-symbolic differentiable interpreters

Relaxed Machines Explorations in neuro-symbolic differentiable interpreters. Baby steps: inc_stop Libraries JAX Haiku Optax Resources Chapter 3 (∂4: A

Nada Amin 6 Feb 02, 2022
(ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning"

CLNet (ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning" [project page] [paper] Citing CLNet If yo

Chen Zhao 22 Aug 26, 2022
A simple interface for editing natural photos with generative neural networks.

Neural Photo Editor A simple interface for editing natural photos with generative neural networks. This repository contains code for the paper "Neural

Andy Brock 2.1k Dec 29, 2022
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"

Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained

Bountos Nikos 3 May 07, 2022
source code for 'Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge' by A. Shah, K. Shanmugam, K. Ahuja

Source code for "Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge" Reference: Abhin Shah, Karthikeyan Shanmugam, Kartik Ahu

Abhin Shah 1 Jun 03, 2022
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer axriv: http://arxiv.org/abs/2112.13513

MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis This is the official page of the MSHT with its experimental script and records. We de

Tianyi Zhang 53 Dec 27, 2022
Ontologysim: a Owlready2 library for applied production simulation

Ontologysim: a Owlready2 library for applied production simulation Ontologysim is an open-source deep production simulation framework, with an emphasi

10 Nov 30, 2022
Official code repository for the work: "The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement"

Handheld Multi-Frame Neural Depth Refinement This is the official code repository for the work: The Implicit Values of A Good Hand Shake: Handheld Mul

55 Dec 14, 2022
Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation by Lukas Hoyer, Dengxin Dai, and Luc Van Gool [Arxiv] [Paper] Overview Unsup

Lukas Hoyer 149 Dec 28, 2022
BC3407-Group-5-Project - BC3407 Group Project With Python

BC3407-Group-5-Project As the world struggles to contain the ever-changing varia

1 Jan 26, 2022