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d2det

D2Det, CVPR2020

darts

Differentiable architecture search for convolutional and recurrent networks

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

docker-cpp-ci

Dockerfiles for C++ CI testing images

dropblock-pytorch

Implementation of DropBlock in Pytorch

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

equalization

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

flappybird-qlearning-bot

Flappy Bird Bot using Reinforcement Learning

gambitfruit

A new version of old chess engine

gentoo-rust

Rust packages

gmat

General Mission Analysis Tool https://sourceforge.net/projects/gmat/

gpt2

An implementation of training for GPT2, supports TPUs

gpu-efficient-networks

gsoc-2017-accepted-proposals

Contains information about accepted GSoC 2017 Projects across various organizations along with the proposals.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

half

homebrew-cask

🍻 A CLI workflow for the administration of macOS applications distributed as binaries

improved-improved-wgan-pytorch

Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch

kmeans_selfsuper

latex-beamerposter

The LaTeX beamerposter package

libqalculate

Qalculate! library and CLI

mart

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

micrograd

A tiny autograd engine and a neural net library on top of it, potentially for educational purposes

mixmatch