The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

The simplest way to serve AI/ML models in production

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

A Beautiful Flask Web API for Yolov7 (and custom) models

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

CLI & Python API to easily summarize text-based files with transformers

This repository allows you to get started with training a State-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away. You can even test your model with our built-in Inference REST API. Training classification models with GluonCV has never been so easy.

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

Unofficial (Golang) Go bindings for the Hugging Face Inference API

Typescript wrapper for the Hugging Face Inference API.

🤗 Hugging Face Inference Client written in Go

Describing How to Enable OpenVINO Execution Provider for ONNX Runtime

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

Tool for test diferents large language models without code.

A Non-Official HuggingFace Rest Client for Unity (UPM)

Eternal is an experimental platform for machine learning models and workflows.

Coupling PySpark with PyTorch Models