SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
A GUI tool for offline transcription of speech recordings, including speaker diarization, utilizing state-of-the-art machine learning models.
A Python data analysis library that is optimized for humans instead of machines.
Composable GAN framework with api and user interface
ONNXMLTools enables conversion of models to ONNX
Thermodynamic Hypergraphical Model Library in JAX
Tools for handling multimodal data in machine learning projects.
Trustworthy AI related projects
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
Mother of All BCI Benchmarks
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
Fast & Simple Resource-Constrained Learning of Deep Network Structure
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Travel through time in your tests.
Pretrained model hub for Keras 3.
NequIP is a code for building E(3)-equivariant interatomic potentials
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
SchNetPack - Deep Neural Networks for Atomistic Systems
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
A platform for managing machine learning experiments
Diffprivlib: The IBM Differential Privacy Library
Agent samples built using the Strands Agents SDK.
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
MONAI Label is an intelligent open source image labeling and learning tool.
Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
MIDI / symbolic music tokenizers for Deep Learning models 🎶
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
A tool for remote ADB exploitation in Python3 for all Machines.
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Examples for https://github.com/optuna/optuna
Python Computer Vision & Video Analytics Framework With Batteries Included
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Python tool that probes websites for open redirection via headers, JavaScript, and meta-tag refresh, pulls candidate URLs from the Wayback Machine, and checks CRLF injection and DOM XSS.
Collection of sports betting AI tools.
Your own self-hosted infra for lightweight VM sandboxes to safely execute untrusted code. CLI, API, Python SDK. ⭐ Star it if you like it! ⭐
🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source
Exercises and supplementary material for the machine learning operations course at DTU.
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
Physics-Informed Neural networks for Advanced modeling
DoubleML - Double Machine Learning in Python
Library for reading and processing ML training data.
Pool-based active learning in Python
Shapley Values and Shapley Interactions for Machine Learning
Python Package for Airborne RGB machine learning
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Annotated data.
Training API and CLI
A simple, yet powerful and extendable Slack bot