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Deep learning library for solving differential equations
DifferentialEquations.jl + Flux.jl = Neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Deep generative models for distribution-preserving lossy compression
A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Curated list of awesome GAN applications and demo
Official implementation of "On GANs and GMMs"
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
GazeCorrection: Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
source code of the paper Graphical Generative Adversarial Networks
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Invertible conditional GANs for image editing
Generative Adversarial Text-to-Image Synthesis
Image De-raining Using a Conditional Generative Adversarial Network
Interactive Image Generation via Generative Adversarial Networks
code for the paper "Improved Techniques for Training GANs"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
Keras implementations of Generative Adversarial Networks.
source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning
(Pytorch)Implementation of LAPGAN. (Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks)
Chainer implementation of Least Squares GAN (LSGAN)
:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.
Generative adversarial network for generating electronic health records.
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.