the best machine learning tutorials on the web
created at April 28, 2011, 1:01 a.m.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
created at Oct. 11, 2021, 2:48 p.m.
simple artificial intelligence utilities
created at July 24, 2012, 11:12 p.m.
Crafty statistical graphics for Julia.
created at Aug. 6, 2012, 8:46 p.m.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
created at Dec. 5, 2019, 5:35 p.m.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
created at Oct. 19, 2018, 9:02 a.m.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
created at Jan. 13, 2019, 2:32 a.m.
Metric learning algorithms in Python
created at Nov. 2, 2013, 8:29 a.m.
Koç University deep learning framework.
created at Sept. 29, 2015, 11:42 p.m.
Python wrapper for Stanford CoreNLP tools v3.4.1
created at Feb. 26, 2011, 6:20 p.m.
simple statistics for node & browser javascript
created at Feb. 8, 2012, 6:29 p.m.
Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.
created at March 19, 2014, 2:10 p.m.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
created at Dec. 11, 2014, 4:24 a.m.