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A tiny lib with pocket-sized implementations of machine learning models in NumPy.
keras-tensorflow, pix2pix GAN
An implementation of Pix2Pix in Tensorflow for use with frames from films
This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube
The "Python Machine Learning (1st edition)" book code repository and info resource
PyTorch implementations of Generative Adversarial Networks.
The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
A list of papers on Generative Adversarial (Neural) Networks
Reinforcement Learning algorithm's using google-colab
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Teach a Quadcopter How to Fly!
Speech Enhancement Generative Adversarial Network in TensorFlow
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
The Udacity open source self-driving car project
Beta of a self driving car trained end-to-end from pictures of the road.
Semi-supervised Learning GAN
Tf implementation of Semi-supervised GAN
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
An Open Source Machine Learning Framework for Everyone
TensorFlow 1.x Deep Learning Cookbook, published by Packt
This is my attempt at recreating the CycleGAN paper: https://arxiv.org/pdf/1703.10593.pdf
TensorFlow Tutorial and Examples for Beginners with Latest APIs
GAN / DCGAN / InfoGAN / BEGAN ...
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.