onnx

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

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

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

RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.

A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.

Simplify your onnx model

State of the Art Natural Language Processing

A retargetable MLIR-based machine learning compiler and runtime toolkit.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

ONNX-TensorRT: TensorRT backend for ONNX

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

OpenMMLab Model Deployment Framework

QualityScaler - image/video AI upscaler app

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

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.

Fast ML inference & training for ONNX models in Rust

Turn any computer or edge device into a command center for your computer vision projects.

Machine learning on FPGAs using HLS