This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Last update: Jan 16, 2022

Related tags

Deep Learning AlexNet3D

Overview

AlexNet_3dConv

TensorFlow implementation of AlexNet(2012) by Alex Krizhevsky, with 3D convolutiional layers.

3D AlexNet

Network with a standart AlexNet architecture, but it has 3D instead 2D filters on each Conv and Pool layers.

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Note: This model needs a lot of GPU memory. Training session will not starts on 1 GPU without additional data separation or code's parallelization (or https://github.com/openai/gradient-checkpointing for example).
Note2: This model doesn't pretend to be the SilverBullet in 3D image recognition (like AlexNet was in 2D). It's just an example of 3D convolutional model in TensorFlow.

Owner

Denis Timonin

AI Solutions Architect at NVIDIA

GitHub Repository

Music source separation is a task to separate audio recordings into individual sources

Music Source Separation Music source separation is a task to separate audio recordings into individual sources. This repository is an PyTorch implmeme

958 Jan 03, 2023

Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."

DialogLM Code for AAAI 2022 paper: DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. Pre-trained Models We release two ve

92 Dec 19, 2022

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

224 Jan 04, 2023

Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021

Min-Max Adversarial Attacks [Paper] [arXiv] [Video] [Slide] Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang, Tianyun Zha

12 Nov 23, 2022

AI Toolkit for Healthcare Imaging

Medical Open Network for AI MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. Its am

3.7k Jan 07, 2023

A flag generation AI created using DeepAIs API

Vex AI or Vexiology AI is an Artifical Intelligence created to generate custom made flag design texts. It uses DeepAIs API. Please be aware that you must include your own DeepAI API key. See instruct

10 Apr 06, 2022

[IEEE TPAMI21] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

MobileSal IEEE TPAMI 2021: MobileSal: Extremely Efficient RGB-D Salient Object Detection This repository contains full training & testing code, and pr

52 Jan 06, 2023

🧑‍🔬 verify your TEAL program by experiment and observation

Graviton - Testing TEAL with Dry Runs Tutorial Local Installation The following instructions assume that you have make available in your local environ

18 Jan 03, 2023

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

2.2k Jan 08, 2023

Code for our paper "Interactive Analysis of CNN Robustness"

Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m

0 Aug 17, 2021

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection

Deep learning for time series forecasting Flow forecast is an open-source deep learning for time series forecasting framework. It provides all the lat

1.2k Jan 04, 2023

A simple tutoral for error correction task, based on Pytorch

gramcorrector A simple tutoral for error correction task, based on Pytorch Grammatical Error Detection (sentence-level) a binary sequence-based classi

8 Dec 03, 2022

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

ProSelfLC: CVPR 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks For any specific discussion or potential fu

57 Dec 04, 2022

Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)

BRIMs Bidirectional Recurrent Independent Mechanisms Implementation of the paper Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neura

26 May 26, 2022

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Music source separation is a task to separate audio recordings into individual sources

Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021

AI Toolkit for Healthcare Imaging

A flag generation AI created using DeepAIs API

[IEEE TPAMI21] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

🧑‍🔬 verify your TEAL program by experiment and observation

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Code for our paper "Interactive Analysis of CNN Robustness"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection

A simple tutoral for error correction task, based on Pytorch

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

"Learning Free Gait Transition for Quadruped Robots vis Phase-Guided Controller"

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's Gradient Checkpointing algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Music source separation is a task to separate audio recordings into individual sources

Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021

AI Toolkit for Healthcare Imaging

A flag generation AI created using DeepAIs API

[IEEE TPAMI21] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

🧑‍🔬 verify your TEAL program by experiment and observation

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Code for our paper "Interactive Analysis of CNN Robustness"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection

A simple tutoral for error correction task, based on Pytorch

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

"Learning Free Gait Transition for Quadruped Robots vis Phase-Guided Controller"

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing