onnx

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

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

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.

QualityScaler - image/video AI upscaler app

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

OpenMMLab Model Deployment Framework

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.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Machine learning on FPGAs using HLS

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.

Robust realtime face and facial landmark tracking on CPU with Unity integration

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

YOLOv8 using TensorRT accelerate !

MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.

A primitive library for neural network

Tensorflow Backend for ONNX

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.