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Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.
Codes of our team for the OpenAI Retro Contest of reinforcement learning
The HTML Presentation Framework
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Create graphics with a hand-drawn, sketchy, appearance
A neural network that transforms a screenshot into a static website
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
A self-driving car simulator built with Unity
Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
Pandas integration with sklearn
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
GANs with spectral normalization and projection discriminator
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
A neural network for end-to-end speech denoising
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
A simple SPP layer which could be added in CNN
Automatic SQL injection and database takeover tool
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
code for Fast Patch-based Style Transfer of Arbitrary Style
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
Deep mind's Tacotron-2 Tensorflow implementation
Tacotron 2 implementation
pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Source-to-Source Debuggable Derivatives in Pure Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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.