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ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Code and hyperparameters for the paper "Generative Adversarial Networks"
A wizard's guide to Adversarial Autoencoders
The classical paper list with code about generative adversarial nets
*From Adversarial Training to Generative Adversarial Networks*
Code for the paper "Adversarial Generator-Encoder Networks"
Adversarially Learned Inference
阿里云盘小白羊版 阿里云盘PC版 aliyundriver
Examples of how to create colorful, annotated equations in Latex using Tikz.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
CUDA-based GPU miner for Ergo (Autolykos algorithm)
The most cited deep learning papers
Now we have become very big, Different from the original idea. Collect premium software in various categories.
List of satellite imagery datasets with annotations for computer vision and deep learning
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Interactive Web Plotting with Bokeh in IPython notebook
Bypass Paywalls web browser extension for Chrome and Firefox.
Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端
Clash的桌面客户端,支持 windows、linux、macos
天翼云盘命令行客户端(CLI),基于GO语言实现
Various utility modules for working with Google Collaboratory
Compare GAN code.
a CUDA accelerated litecoin mining application for NVIDIA Jetson TX2/TX1
Compute the smallest bounding ball of a point cloud in arbitrary dimensions. Python/Cython binding of the popular miniball utility by Bernd Gärtner.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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.
Modularized Implementation of Deep RL Algorithms in PyTorch
A pytorch adversarial library for attack and defense methods on images and graphs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.