A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Universal LLM Deployment Engine with ML Compilation
Machine Learning Engineering Open Book
Datasets, Transforms and Models specific to Computer Vision
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
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.
The Open Source Feature Store for AI/ML
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Uplift modeling and causal inference with machine learning algorithms
A system for quickly generating training data with weak supervision
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Probabilistic time series modeling in Python
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
Time series forecasting with PyTorch
Lightning β‘οΈ fast forecasting with statistical and econometric models.
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.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
β‘οΈSwanLab - 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
A python library for self-supervised learning on images.
Synthetic data generation for tabular data
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
A general fine-tuning kit geared toward image/video/audio diffusion models.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
Python library for portfolio optimization built on top of scikit-learn
Turn any computer or edge device into a command center for your computer vision projects.
Fast State-of-the-Art Static Embeddings
An open-source Python framework for hybrid quantum-classical machine learning.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
A package for the sparse identification of nonlinear dynamical systems from data
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Computations and statistics on manifolds with geometric structures.
A toolkit for time series machine learning and deep learning
Automated Time Series Forecasting
TabICLv2: An open tabular foundation model
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Scalable machine π€ learning for time series forecasting.
The simplest way to serve AI/ML models in production
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. βοΈ Remember to star!
workshop materials to build intelligent solutions on Open AI
High-performance Vision library in Python. Scale your research, not boilerplate.
Resources about time series forecasting and deep learning.
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
SDK libraries for Modal