#machine-learning

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

Distributed High-Performance Symbolic Regression in Julia

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.

Elyra extends JupyterLab with an AI centric approach.

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.

Statistical Machine Intelligence & Learning Engine

Extra blocks for scikit-learn pipelines.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

Bashrs: Rust-to-Shell Transpiler for Deterministic Bootstrap Scripts

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

Modular and user-friendly platform for AI-assisted rescoring of peptide identifications

Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

⚡ Easy API access to the tabular foundation model TabPFN ⚡

POT : Python Optimal Transport

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.

Large-scale LLM inference engine

A package for the sparse identification of nonlinear dynamical systems from data

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Geometric AI governance and evaluation framework with a 14-layer security pipeline, semantic projection, and reproducible benchmark lanes.

Uniform Manifold Approximation and Projection

Magenta RealTime 2: An Open-Weights Live Music Model

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Neural Network primitives with multiple backends

21st century AD

A general classifier module to allow Bayesian and LSI classifications.