#machine-learning-algorithms (29 Repositories)
Ranked open-source repositories tagged with #machine-learning-algorithms, scored by pull request acceptance likelihood and maintainer engagement velocity.
26.2%
15.7h
29 repositories tagged #machine-learning-algorithms
smartcorelib/smartcore
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
cardmagic/classifier
A general classifier module to allow Bayesian and LSI classifications.
NVIDIA/cuml
NVIDIA cuML: GPU-Accelerated Machine Learning
uxlfoundation/oneDAL
oneAPI Data Analytics Library (oneDAL)
uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
PetervanLunteren/AddaxAI
AI-assisted camera trap analysis: detection, species recognition, verification, dashboards and exports. Free, open source, for Windows, macOS and Linux.
PerforatedAI/PerforatedAI
Add Dendrites to your PyTorch Project
opensearch-project/ml-commons
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
cqfn/aibolit
A Static Analyzer for Java Powered by Machine Learning: Identifies Anti-Patterns Begging for Refactoring
pathwaycom/pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
tailhq/DynaML
Scala Library/REPL for Machine Learning Research
gyrdym/ml_algo
Machine learning algorithms in Dart programming language
memoiry/LightML.jl
Minimal and clean examples of machine learning algorithms implemented in Julia
schwittlick/ofxDarknet
darknet neural network addon for openFrameworks
sergioburdisso/pyss3
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:
alirezadir/AIMLInterviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
RemoteML/bestofml
The best resources around Machine Learning
WinVector/vtreat
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
EdwardRaff/JSAT
Java Statistical Analysis Tool, a Java library for Machine Learning
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
r3fang/SnapATAC
Analysis Pipeline for Single Cell ATAC-seq
fuqiuai/lihang_algorithms
用python和sklearn两种方法实现李航《统计学习方法》中的算法
mrsaeeddev/free-ai-resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
KillerM1000/MedDev-Forecast-Infra
Supply Chain Forecast Accuracy 2026: MAPE, Bias & FVA Dashboard
cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
SomeB1oody/RustyML
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.