Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
scikit-learn: machine learning in Python
Interact with your documents using the power of GPT, 100% privately, no data leaks
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Python packaging and dependency management made easy
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Turns Data and AI algorithms into production-ready web applications in no time.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
An orchestration platform for the development, production, and observation of data assets.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Superduper: build end-2-end AI applications and templates using your existing data infrastructure and tools of choice
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
High level Python client for Elasticsearch
Utils for streaming large files (S3, HDFS, gzip, bz2...)