#machine-learning

Distributed High-Performance Symbolic Regression in Julia

Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants

Faster structured generation

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.

The fastai deep learning library

GoMLX: An Accelerated Machine Learning Framework For Go

Collection of eclectic utils for python.

Rust bindings for OpenVINO™

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

ONNX neural network inference engine

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

scikit-activeml: A Comprehensive and User-Friendly Active Learning Library for Reserach

Git-native executable catalog for agentic data work.

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

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

Fast, flexible LLM inference

Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

SKaiNET makes local AI practical for developers: simple to build with, multiplatform by design, and optimized for native performance without compromises.

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Open-source tabular foundation model for fast, training-free regression with predictive distributions.

A Living Benchmark for Machine Learning on Tabular Data

The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.

Algorithmic Trading in Python with Machine Learning

Elyra extends JupyterLab with an AI centric approach.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Cross-platform, customizable ML solutions for live and streaming media.

JAX-based neural network library

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.