#machine-learning

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open standard for machine learning interoperability

A hyperparameter optimization framework

scikit-learn: machine learning in Python

Streamlit — A faster way to build and share data apps.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Workflow Engine for Kubernetes

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

The official CLI and Python client for the Hugging Face Hub.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Production-grade Rust-native trading engine with deterministic event-driven architecture

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Refine high-quality datasets and visual AI models

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

NVIDIA cuML: GPU-Accelerated Machine Learning

Build, Manage and Deploy AI/ML Systems

Scalable and user friendly neural :brain: forecasting algorithms.

Lightning ⚡️ fast forecasting with statistical and econometric models.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Open ABI and FFI for Machine Learning Systems

Fast and Accurate ML in 3 Lines of Code

The simplest way to serve AI/ML models in production

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/