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The classical papers and codes about generative adversarial nets
Adversarially Learned Inference
Torch implementations of various types of autoencoders
Random Forest - a curated list of resources regarding random forest
Bayesian Gaussian mixture models in Python.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A library for benchmarking vulnerability to adversarial examples
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Implementation of recent Deep Learning papers
Python code for the series of Blog posts on Reinforcement Learning
Dynamic Boltzmann Machines
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Kaggle's Eye Movements Identification and Verification Competition
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A Toolkit for Chinese Topic Modeling
f-GANs in an Information Geometric Nutshell
A utility for fundamentals data of China commodity futures
📊 A simple command-line script (wrapper for nvidia-smi) for querying and monitoring GPU status
Fast Python Collaborative Filtering for Implicit Datasets
Lecture Code for Introduction to R Programming
Yang Gao's implementation of Jimmy Fould's SCVB0 algorithm, coded in C++ with Eigen matrix package, burn-in for each doc is modified after Michael Hankin's vectorized method
Learning to Execute
Extension of the awesome XGBoost to linear models at the leaves
A Platform for Many-agent Reinforcement Learning
Memory Networks implementations
Parallelized Mutual Information based Feature Selection module.
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.