PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

PyTorch android examples of usage in applications

Code for 'Low-Shot Learning with Imprinted Weights'

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

📊 A simple command-line utility for querying and monitoring GPU status

SFD implement with pytorch

Google AI 2018 BERT pytorch implementation

Implementation of the state-of-the-art video-segmentation / rotoscoping tool described in the CVPR 2017 paper ROAM: a Rich Object Appearance Model with Application to Rotoscoping

Gameboy emulator written in Python

Efficiently computes derivatives of numpy code.

Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Reinforcement learning environments with musculoskeletal models

Examples of C extensions for PyTorch

A simple Tensorflow based library for Deep autoencoder and denoising AE.

Models built with TensorFlow

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

TensorFlow implementation of Pixel Recurrent Neural Networks

Spatio-temporal video autoencoder with convolutional LSTMs

OpenNN - Open Neural Networks Library.