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Code for the paper "Adversarial Generator-Encoder Networks"
Generative image model with learned similarity measures
The author's officially unofficial PyTorch BigGAN implementation.
Conditional RNNs made easy with Tensorflow and Keras.
Package implementing various parametric and nonparametric methods for conditional density estimation
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
Deep learning with cats (^._.^)
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
C++ implementation of GJK and EPA algorithms for 2D collision detection
Gaussian Process Prior Variational Autoencoder
just for learning tutorial
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Semi-supervised GAN in "Improved Techniques for Training GANs"
pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
This code is to implement the IndRNN.
Interaction Dataset Python Scripts
Implement layer normalization GRU in pytorch
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Repository for our ICLR 2018 paper: memoryGAN
Machine Learning and Artificial Intelligence for Medicine.
Simple multilayer perceptron c++ implementation.
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
MoCoGAN: Decomposing Motion and Content for Video Generation
A descriptive visualization and monitoring of neuron activations using the comparison approaches.
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
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.