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

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

An Open Source Machine Learning Framework for Everyone

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.

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

ECG (Electrocardiography) Signal Analysis and (AFIB) Atrial Fibrillation Detection Models

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

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 model compilation solution for various hardware

AIOrchestra is a microservice-based application featuring an event-driven architecture. It provides personalized song recommendations using a custom-trained ML model with .NET Core, Kafka, Docker, and TensorFlow.

Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

Containers for machine learning

🌟 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes.

Backend for Pulih App

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

TensorFlow - A curated list of dedicated resources. With repository stars⭐ and forks🍴

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Standardized Serverless ML Inference Platform on Kubernetes

NVR with realtime local object detection for IP cameras

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