Open Data Platform for analysts, quants and AI agents.
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scikit-learn: machine learning in Python
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
We write your reusable computer vision tools. 💜
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
100-Days-Of-ML-Code中文版
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A collaboration friendly studio for NeRFs
🐍 Geometric Computer Vision Library for Spatial AI
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🌊 Online machine learning in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A python library for self-supervised learning and latent world models on images.
Visualize and compare datasets, target values and associations, with one line of code.
:sunglasses: A curated list of robotics libraries and software
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
What's in your data? Extract schema, statistics and entities from datasets