iris
Open Source Photos Platform Powered by PyTorch
About
Services
Infrastructure Services:
Roadmap & Issues
You can find the roadmap for this project here. Issues are managed via GitHub Issues here.
in brouser:
graphql:1 Failed to load resource: the server responded with a status of 404 (Not Found)
in console:
frontend | 2021/11/05 09:51:37 [error] 36#36: *11 open() "/usr/share/nginx/html/graphql" failed (2: No such file or directory), client: 172.21.0.1, server: localhost, request: "POST /graphql HTTP/1.1", host: "localhost:5000", referrer: "http://localhost:5000/explore"
WAIDW?
frontendlat, long in /explore/place entities listborder-radius: 50% and for rest its border-radius: 4 or 8px@rmwc/theme<ThemeProvider /> by @rmwc and set colors via that as propsSEE ALL button on top/explore/people/explore/places/explore/thingsmake lint checkmake generate checkmake build checknpm run build checknpm run lint checknpm test checkPeople, Places, Thingsqueue and should be used for invoking those respective componentsDocker Images should be built using 2 step process to reduce the image size:
Docker Images will be named as follows:
prabhuomkar/iris-frontend:<tag>prabhuomkar/iris-graphql:<tag>prabhuomkar/iris-worker:<tag>prabhuomkar/iris-ml:<tag>Full Changelog: https://github.com/prabhuomkar/iris/compare/v2021.11.01...v2021.12.31
Source code(tar.gz)Full Changelog: https://github.com/prabhuomkar/iris/commits/v2021.11.01
Source code(tar.gz)MoveNet-Python-Example MoveNetのPythonでの動作サンプルです。 ONNXに変換したモデルも同梱しています。変換自体を試したい方はMoveNet_tf2onnx.ipynbを使用ください。 2021/08/24時点でTensorFlow Hubで提供されている以下モデ
LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!
Robust, intersection-free, simulations of rigid bodies.
Off-Policy-2-Stage This repo provides a PyTorch implementation of the MovieLens experiments for the following paper: Off-policy Learning in Two-stage
DeepVecFont This is the official Pytorch implementation of the paper: Yizhi Wang and Zhouhui Lian. DeepVecFont: Synthesizing High-quality Vector Fonts
Feel free to visit my homepage Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DIMP) [ECCVW2020 paper] Presentation
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
JuliaCon2021 DataFrames.jl Tutorial This is a tutorial on DataFrames.jl prepared for JuliaCon2021. A video recording of the tutorial is available here
Diverse Branch Block: Building a Convolution as an Inception-like Unit (PyTorch) (CVPR-2021) DBB is a powerful ConvNet building block to replace regul
Neural network-based build time estimation for additive manufacturing Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build tim
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torchextractor: PyTorch Intermediate Feature Extraction Introduction Too many times some model definitions get remorselessly copy-pasted just because
libsdae - deep-Autoencoder & denoising autoencoder A simple Tensorflow based library for Deep autoencoder and denoising AE. Library follows sklearn st
actions-includes Allows including an action inside another action (by preprocessing the Yaml file). Instead of using uses or run in your action step,
🦩 Flamingo - Pytorch Implementation of Flamingo, state-of-the-art few-shot visual question answering attention net, in Pytorch. It will include the p
Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories This repo is the code release of EMNLP 2021 con
This is a library for training and applying sparse fine-tunings with torch and transformers. Please refer to our paper Composable Sparse Fine-Tuning f
deep learning model, heat map, data prepo
FInite volume Neural Network (FINN) This repository contains the PyTorch code for models, training, and testing, and Python code for data generation t