A machine learning library for Ruby that provides a wide array of algorithms with an interface similar to Scikit-Learn.

A Julia package that integrates differential equation solvers into neural networks to enable the creation of physically informed scientific machine learning models.

A collection of hardware-aware efficient ConvNet models and tools, including FBNet and ChamNet, designed to optimize computer vision performance and latency on mobile devices.

TensorFlow‑Java provides Maven‑publishable Java/JVM bindings for TensorFlow, including low‑level JNI wrappers (`tensorflow‑core`), a high‑level neural‑network API (`tensorflow‑framework`), and an independent ndarray library. It supports Linux (x86_64, arm64) and macOS (Apple Silicon) binaries, with optional GPU builds, and integrates with standard Java build tools.

A comprehensive benchmark and framework for stereo matching that integrates 17 datasets and multiple state-of-the-art models for depth estimation.

A deep learning toolbox for predicting quantum-chemical properties of molecules and materials using atomistic neural networks.

hf‑mem is a lightweight Python CLI (and library) that estimates the RAM required to run any Hugging Face model that uses Safetensors or GGUF weights. It fetches only metadata via HTTP range requests, supports Transformers, Diffusers, Sentence‑Transformers, and can optionally estimate KV‑cache memory and MoE breakdowns. Installable as a standalone tool, a Hugging Face CLI extension, or an agent skill.

An AI-powered offensive security agent that automates privilege escalation to root access using an autonomous LLM-driven shell loop.

DiffMem is a production‑ready FastAPI service that gives LLM‑powered agents a Git‑backed, Markdown‑based memory. Each user lives on an isolated Git branch; the writer agent commits conversation updates, and a retrieval agent uses plain `git`/`grep` commands to fetch the current view or dive into history. The system needs only an LLM API key, runs on a tiny Linux box (Docker or Coolify), and optionally mirrors branches to a private GitHub repo for backup. It includes consolidation tools (dedupe, redistribute, link) to keep the “now” files compact and well‑linked.

An R interface to Keras that enables R users to prototype and train deep learning models using a high-level neural networks API.

A high-performance C# NLP library inspired by spaCy that provides fast tokenization, entity recognition, and embedding training for .NET applications.

A collection of Google Colab notebooks for preparing datasets and training Stable Diffusion LoRA models, including support for SDXL.

A modular AI agent framework that enables the creation of multi-platform agents with specialized Web3 intelligence and integrated RAG and Chain of Thought workflows.

Treelite is a universal model exchange and serialization format for decision tree forests, enabling C++ applications to store and exchange models on disk and network.

An open-source Java data mining framework focused on research in unsupervised methods for cluster analysis and outlier detection, featuring high-performance index structures for scalable benchmarking.

AgentForge is a low‑code Python framework for building, testing, and iterating AI‑driven autonomous agents. It uses declarative YAML files (Cogs) to compose agents, attach optional memory, and orchestrate multi‑agent workflows, while supporting OpenAI, Gemini, Claude, and local models via Ollama/LMStudio.

A code intelligence CLI tool that combines AST-based call graph analysis and hybrid semantic search to help developers and AI agents navigate large codebases.

An open-source platform for interactive learning that provides scalable individual feedback, automatic assessment, and optional LLM-powered tutoring for universities.

A package of trained U-net models for automated lung segmentation in CT scans, capable of handling severe pathologies and lobe-specific masking.

PhoBERT provides state-of-the-art pre-trained language models for Vietnamese based on the RoBERTa architecture, improving performance on various Vietnamese NLP tasks.

A Julia library for symbolic regression that searches for human-readable mathematical expressions to fit datasets, optimizing the trade-off between accuracy and complexity.

A multimodal AI agent framework for the Go language that enables developers to build complex AI workflows with pluggable models, tools, and memory.

A Python toolkit for Explainable AI (XAI) that provides tools for attribution, feature visualization, and concept extraction to help users understand complex neural network models.

A diffusion-based training framework for Text-to-Speech, Singing Voice Synthesis, and Singing Voice Conversion that supports multi-speaker training and efficient hardware utilization.

A Python framework for building memory-first AI agents that use persistent episodic, semantic, and procedural memory to recall experience and learn new skills over time.

Official Python SDK for Mistral AI’s cloud APIs (chat, embeddings, audio, files, agents, etc.). Install via pip/uv/poetry, set `MISTRAL_API_KEY`, then call methods like `client.chat.complete(...)` synchronously or with `asyncio`. Includes Azure and GCP wrappers and support for streaming, pagination, retries, and more.

A core Julia interface for defining and solving Markov Decision Processes (MDPs) and Partially Observable Markov Decision Processes (POMDPs) to handle decision-making under uncertainty.

A benchmark for Table-Augmented Generation (TAG), a paradigm for answering natural language questions over databases that require world knowledge or semantic reasoning.

An NPM package that brings the OpenCV computer vision library to Node.js and web browsers, enabling tasks like real-time face detection in JavaScript.

A reinforcement learning framework using DDPG to minimize processing delays in UAV-assisted mobile edge computing by optimizing flight paths and task offloading.

A symbolic programming library for Python that enables the manipulation and automatic search of Python programs, commonly used for AutoML and evolutionary computing.

A unified search and AI chat platform that connects enterprise data from apps like Google Workspace, Dropbox, and GitHub into a single interface.

A local Model Context Protocol server that enables AI assistants to safely read and modify Obsidian vaults by interacting directly with Markdown files.

NucliaDB is a hybrid AI search database that combines vector, full-text, and graph indexes to store and search unstructured data.

An extension of XGBoost that enables probabilistic modelling by predicting the full conditional distribution of targets instead of single point estimates.

A lean library for training and enable loading k-sparse autoencoders (SAEs) and transcoders on HuggingFace language model activations to aid in mechanistic interpretability.

A high-performance trainable sparse attention implementation that combines Flash Attention's memory efficiency with sparse computation for handling extremely long sequences in Transformers.

A trustworthy evaluation framework for autonomous agents featuring 300 human-verified tasks and a strict Pass^3 metric to ensure consistent model performance.

A smart media tagging app for Nextcloud that uses local AI models to automatically categorize photos, videos, and music.

A compact, C-based machine learning runtime with a Python API that provides full control over tensor execution and memory for research and low-level optimization.

Client libraries and examples for C++, Python, and Java that simplify communication with Triton Inference Server for model inferencing and server management.

A customizable production-ready template for Databricks ML projects that provides pre-configured CI/CD, resource management as code, and a standardized project structure.

A library for training model-based Reinforcement Learning agents using Model Predictive Control as a function approximation to learn optimal control policies.

A hierarchical perception library for autonomous systems that provides modular APIs for building computer vision pipelines using TensorFlow and Keras.

A model interpretability method that explains neural network predictions using high-level human concepts rather than individual input features.

A comprehensive Julia package for reinforcement learning research that provides extensible components for implementing, benchmarking, and reproducing RL algorithms.

A private enterprise control plane for AI agents that unifies model routing, skill distribution, and knowledge management across different local agent runtimes.

MOA is an open-source Java framework for real-time data stream mining and large-scale machine learning, providing a suite of algorithms and evaluation tools.