MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

StyleGAN2-ADA - Official PyTorch implementation

Deep Learning Examples

Gluon CV Toolkit

Code for paper

Global Reasoning module for visual recognition

Non-local Neural Networks for Video Classification

PyTorch Implementations for DeeplabV3 and PSPNet

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Squeeze-and-Excitation Networks

Keras implementation of Non-local Neural Networks

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Caffe models (include classification, detection and segmentation) and deploy files for famouse networks

The Github Repo for PolyNet

code for py-R-FCN-multiGPU maintained by bupt-priv

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

adaptation of PixelCNN

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

Stacked Generative Adversarial Networks

Javascript image annotation tool based on image segmentation.