#machine-learning

Limen unifies parameter search across machine learning and rule-based strategies, with built-in analytics that show not just what works, but why it works.

Next-generation Albumentations: dual-licensed for open-source and commercial use

Fast and accurate AI powered file content types detection

Multidimensional data analysis

Fit interpretable models. Explain blackbox machine learning.

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Turn any computer or edge device into a command center for your computer vision projects.

Survival analysis built on top of scikit-learn

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

An Open Source Machine Learning Framework for Everyone

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Active learning for systematic reviews

Superfast AI decision making and intelligent processing of multi-modal data.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Realtime Web Apps and Dashboards for Python and R

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Relax! Flux is the ML library that doesn't make you tensor

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

JSON schemas and examples representing structural data, characteristic properties, modeling workflows and related data about materials standardizing the diverse landscape of information

Data manipulation and transformation for audio signal processing, powered by PyTorch

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Evaluation and Tracking for LLM Experiments and AI Agents

The machine learning toolkit for time series analysis in Python

Modular, GPU-capable land surface model of the CliMA Earth System Model, designed for data-driven parameterizations