An Open Source Machine Learning Framework for Everyone

NVR with realtime local object detection for IP cameras

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Translations of TensorFlow documentation

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

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.

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.

A library for training and deploying machine learning models on Amazon SageMaker

Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis

Containers for machine learning

Intel® End-to-End AI Optimization Kit

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

Collection of eclectic utils for python.

Flower: A Friendly Federated Learning Framework

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

Implementations of various Self Supervised Learning methods

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.