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An Open Source Machine Learning Framework for Everyone

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

We write your reusable computer vision tools. 💜

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

NVR with realtime local object detection for IP cameras

Visualizer for neural network, deep learning and machine learning models

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

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

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Machine Learning Toolkit for Kubernetes

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Open3D: A Modern Library for 3D Data Processing

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

TensorFlow-based neural network library

Deep learning library featuring a higher-level API for TensorFlow.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Containers for machine learning

AutoML library for deep learning

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

TensorFlow documentation

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Deep Reinforcement Learning for Keras.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes