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Awesome List
A curated list of awesome Machine Learning frameworks, libraries and software.
GitHub stars and default-branch commits for josephmisiti/awesome-machine-learning.
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Image processing in Python
A Python wrapper for Google Tesseract
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A scikit-learn compatible neural network library that wraps PyTorch
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
An Engine-Agnostic Deep Learning Framework in Java
Fast data visualization and GUI tools for scientific / engineering applications
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
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.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Main repository for Vispy
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Fast, flexible and easy to use probabilistic modelling in Python.
Algorithmic Trading in Python with Machine Learning
Accelerated deep learning R&D
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
NumPy and Pandas interface to Big Data
a delightful machine learning tool that allows you to train, test, and use models without writing code
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Shōgun
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
An intuitive library to add plotting functionality to scikit-learn objects.
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
A modular active learning framework for Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Feature engineering and selection open-source Python library compatible with sklearn.
A toolkit for reproducible reinforcement learning research.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Hyper-parameter optimization for sklearn
Machine learning with dataframes
ThunderSVM: A Fast SVM Library on GPUs and CPUs
The Python ensemble sampling toolkit for affine-invariant MCMC
Spearmint Bayesian optimization codebase
A security scanner for your LLM agentic workflows
Package geom implements efficient geometry types for geospatial applications.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
ML powered analytics engine for outlier detection and root cause analysis.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Machine Learning toolbox for Humans
No description.
Python package for Bayesian Machine Learning with scikit-learn API
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Serverless proxy for Spark cluster