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Official content for the Fall 2014 Harvard CS109 Data Science course
Data directory for the CS109 Data Science course
code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
Conditional generative adversarial networks for convolutional face generation
Java implementation of algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Algorthms by Robert Sedgewick(4th edition) partial exercises with python implementation
Zipfian capstone project - Dan Morris
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Benchmarks of approximate nearest neighbor libraries in Python
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Anomalous time series package for R (ACM)
Anomaly Detection with R
API for TheMovieDb.org website
Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder
A curated list of awesome Machine Learning frameworks, libraries and software.
An awesome list of (large-scale) public datasets on the Internet. (On-going collection)
Random Forest - a curated list of resources regarding random forest
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of papers and code about very deep neural networks (50+ layers) :sunglasses:
Bandit algorithms and test framework in Java
Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]
Python library for Multi-Armed Bandits
Code for my book on Multi-Armed Bandit Algorithms
A simple tool for small scale experiments using bayesian optimization
A python tutorial on bayesian modeling techniques (PyMC3)
Bayesian Python: Bayesian inference tools for Python
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.