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.

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

The simplest way to serve AI/ML models in production

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

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

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

Coupling PySpark with PyTorch Models

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

🤗 Hugging Face Inference Client written in Go

LeapfrogAI API

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.

Text components powering LLMs & SLMs for geniusrise framework

Typescript wrapper for the Hugging Face Inference API.

Describing How to Enable OpenVINO Execution Provider for ONNX Runtime

Chat prompt template evaluation and inference monitoring

REST APIs for StableDiffusion. Inferencing support on AzureML

Diff tool to check object detection result.

Yolo Inference API built using FastAPI

Computer Vision API V2 - FastAPI & ONNX Models