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aae_pytorch

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

adversarialnetspapers

The classical paper list with code about generative adversarial nets

advgan

*From Adversarial Training to Generative Adversarial Networks*

age

Code for the paper "Adversarial Generator-Encoder Networks"

ali

Adversarially Learned Inference

aliyunpan

阿里云盘小白羊版 阿里云盘PC版 aliyundriver

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

autograd-hacks

autolykos-gpu-miner

CUDA-based GPU miner for Ergo (Autolykos algorithm)

awesome-deep-learning-papers

The most cited deep learning papers

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

clash-for-flutter

Clash的桌面客户端，支持 windows、linux、macos

cloudpan189-go

天翼云盘命令行客户端(CLI)，基于GO语言实现

colaboratory-tools

Various utility modules for working with Google Collaboratory

compare_gan

Compare GAN code.

cudaminer

a CUDA accelerated litecoin mining application for NVIDIA Jetson TX2/TX1

cyminiball

Compute the smallest bounding ball of a point cloud in arbitrary dimensions. Python/Cython binding of the popular miniball utility by Bernd Gärtner.

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs