A unified framework for machine learning with time series
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.
End-to-End Speech Processing Toolkit
TensorFlow-based neural network library
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop โ all through one unified, production-ready inference API.
A python library for user-friendly forecasting and anomaly detection on time series.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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!
๐ง 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.
ๆถๅฝๆๅ จใๆดๆฐๆๅฟซ็ๆ่ฝSkillsๅๅบ๏ผ็ฒพ้ๅๅๆ่ฝๅ ๏ผๆถต็ๆๆกฃๅค็ใๅ ๅฎนๅไฝใ็ผ็จๅผๅใๆบๅจๅญฆไน ใ่ชๅจๅๅทฅไฝๆต๏ผ๏ผๅ จ้จๆๅ ๅฅฝๅฏ็ดๆฅๅฎ่ฃ ไฝฟ็จ๏ผๅๆถ่ชๅจๆๅGitHubไธไธไธชSkills้กน็ฎ๏ผๆๅ็ฑปใๆดๆฐๆถ้ดใStarๆฐ้ๆด็ใThe most comprehensive and frequently updated AI Agent skill library, featuring curated skill packs across document processing, content creation, programming, machine learning, automated workflows, and many more domains.
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
โก TabPFN: Foundation Model for Tabular Data โก
A self-hosted open source photo management service.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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
Official Python client library for kubernetes
Efficiently computes derivatives of NumPy code.
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Please post problems or patches to the mailing list for discussion (see the end of the README below).
The Open Source Feature Store for AI/ML
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Flower: A Friendly Federated AI Framework
Native MLX runtime for Laya typed decision models โ 7โ14 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 ๐ซ โ 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
๐ Online machine learning in Python
๐ง pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
Uplift modeling and causal inference with machine learning algorithms
A system for quickly generating training data with weak supervision
๐ Efficient implementations for emerging model architectures
Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
๐ :bar_chart: :bulb: Orange: Interactive data analysis
ZenML ๐: 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.
Automatic Ripping Machine (ARM) Scripts
NVIDIA cuML: GPU-Accelerated Machine Learning
Probabilistic time series modeling in Python
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
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