AI-Powered Photos App for the Decentralized Web 🌈💎✨

An Open Source Machine Learning Framework for Everyone

Realtime BirdNET soundscape analyzer

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

AI + Data, online. https://vespa.ai

Deep Learning Docker Image

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Flower: A Friendly Federated Learning Framework

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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

The Java library to run Deep Learning models

DagsHub client libraries

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

This project automates trash sorting using a Raspberry Pi-controlled robotic arm, leveraging TensorFlow Lite and OpenCV for real-time classification of paper, plastic, and metal waste.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Neural Network Compression Framework for enhanced OpenVINO™ inference

Machine learning library, Distributed training, Deep learning, Models