The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
A collection of machine learning examples and tutorials.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
🧙 Build, run, and manage data pipelines for integrating and transforming data.
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
Accessible large language models via k-bit quantization for PyTorch.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Uniform Manifold Approximation and Projection
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A self-hosted open source photo management service.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Efficiently computes derivatives of NumPy code.
The Open Source Feature Store for AI/ML
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Flower: A Friendly Federated AI Framework
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Chronos: Pretrained Models for Time Series Forecasting
🌊 Online machine learning in Python
Uplift modeling and causal inference with machine learning algorithms
A system for quickly generating training data with weak supervision
🚀 Efficient implementations for emerging model architectures
Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
NVIDIA cuML: GPU-Accelerated Machine Learning
Probabilistic time series modeling in Python
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
On-device AI across mobile, embedded and edge for PyTorch
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
🤗 AutoTrain Advanced
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Symbolic Learning in Python and Julia
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
The official CLI and Python client for the Hugging Face Hub.
Superfast AI decision making and intelligent processing of multi-modal data.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.