YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

Open standard for machine learning interoperability

Visualizer for neural network, deep learning and machine learning models

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

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

PyTorch ,ONNX and TensorRT implementation of YOLOv4

A collection of pre-trained, state-of-the-art models in the ONNX format

Tengine is a lite, high performance, modular inference engine for embedded device

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.

Simple and Distributed Machine Learning

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Setup and customize deep learning environment in seconds.

🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Java version of LangChain

OpenMMLab Model Deployment Framework

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

ONNX-TensorRT: TensorRT backend for ONNX