Stars
Minimal and clean examples of machine learning algorithms implementations
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
A high performance caching library for Java
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
💫 Industrial-strength Natural Language Processing (NLP) in Python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A collection of IPython notebooks covering various topics.
Sample code for deep learning & neural networks
Concurrent Radix and Suffix Trees for Java
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
Algorithms and Data Structures implemented in Java
MITIE: library and tools for information extraction
A fast, light-weight proxy for memcached and redis
Vert.x is a tool-kit for building reactive applications on the JVM
High performance non-blocking webserver
A number of algorithms for calculating string similarity in Java
A simple non-blocking TCP server. This is a single threaded TCP server that does not block on I/O.
Sorting a large number of data that cannot be stored in memory at one time
A library that adds some NLP capabilities to the Lucene search engine