YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Visualizer for neural network, deep learning, and machine learning models

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

Open standard for machine learning interoperability

🏄 Embed/reason/rank images and sentences with CLIP 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/

The next-generation platform to monitor and optimize your AI costs in one place 🚀

Setup and customize deep learning environment in seconds.

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

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.

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

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

Simple and Distributed Machine Learning

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥