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Location: US
Type: User
Location: US
The classical papers and codes about generative adversarial nets
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A curated list of awesome architecture search resources
:metal: awesome-semantic-segmentation
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A Python implementation of global optimization with gaussian processes.
Official implementation of Efficient Cascading Residual Network for SR
Reinforcement Learning Coach by Intel® Nervana™ enables easy experimentation with state of the art Reinforcement Learning algorithms
The Python programming language
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"
Deep Back-Projection Networks for Super-Resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepVis Toolbox
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
This repository contains implementations and illustrative code to accompany DeepMind publications
Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Reinforcement Learning
Efficient Architecture Search by Network Transformation, in AAAI 2018
An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Starter code for Evolution Strategies
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The fastai deep learning library, plus lessons and tutorials
A toolkit for developing and comparing reinforcement learning algorithms.
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
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.