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This repository contains a new adversarial training method for Generative Conversational Agents
Approximate Nearest Neighbors for Scala and Apache Spark
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
My O'Reilly Publications
Benchmarking different implementations of weighted-ALS matrix factorization
A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
Convexified Convolutional Neural Networks
Chess reinforcement learning by AlphaGo Zero methods.
A low-latency prediction-serving system
Samples for Google Cloud Machine Learning Engine
Convolutional Neural Network for Text Classification in Tensorflow
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Because you're computing conversion rates wrong
Stanford CoreNLP: A Java suite of core NLP tools.
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Course notes for CS224N Winter17
Course notes for CS228: Probabilistic Graphical Models.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Algorithmic trading with deep learning experiments
Conversation models in TensorFlow.
Implementation of recent Deep Learning papers
Deep learning for recommender systems
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Cleaned code for paper "Natural Language Inference over Interaction Space"
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.