Trending repositories for topic onnx
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
Visualizer for neural network, deep learning and machine learning models
Unified framework for building enterprise RAG pipelines with small, specialized models
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Effortless data labeling with AI support from Segment Anything and other awesome models.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Open source real-time translation app for Android that runs locally
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
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.
《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。
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
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.
UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf)....
A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local Ingestion, Inference and Indexing solution, built in Rust.
Unified framework for building enterprise RAG pipelines with small, specialized models
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Visualizer for neural network, deep learning and machine learning models
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Unified framework for building enterprise RAG pipelines with small, specialized models
Open source real-time translation app for Android that runs locally
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
《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。
A collection of pre-trained, state-of-the-art models in the ONNX format
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
AivisSpeech Engine: AI Voice Imitation System - Text to Speech Engine
A flutter plugin for OnnxRuntime provides an easy, flexible, and fast Dart API to integrate Onnx models in flutter apps across mobile and desktop platforms.
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
Python scripts form performing stereo depth estimation using the HITNET model in ONNX.
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.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
Web-based real-time object detection for YOLO model.
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - C#)
Effortless data labeling with AI support from Segment Anything and other awesome models.
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
Lightweight & fast OCR models for license plate text recognition.
Visualizer for neural network, deep learning and machine learning models
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Effortless data labeling with AI support from Segment Anything and other awesome models.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Unified framework for building enterprise RAG pipelines with small, specialized models
《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。
Open source real-time translation app for Android that runs locally
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
A collection of pre-trained, state-of-the-art models in the ONNX format
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Run local LLM from Huggingface in React-Native or Expo using onnxruntime.
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models.
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local Ingestion, Inference and Indexing solution, built in Rust.
AivisSpeech Engine: AI Voice Imitation System - Text to Speech Engine
Python scripts performing optical flow estimation using the NeuFlowV2 model in ONNX.
A utility to inspect, validate, sign and verify machine learning model files.
Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts
ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
A flutter plugin for OnnxRuntime provides an easy, flexible, and fast Dart API to integrate Onnx models in flutter apps across mobile and desktop platforms.
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM | StableDiffusion
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
AI Productivity Tool - Free and open-source, enhancing user productivity while ensuring privacy and data security. It provides efficient and convenient AI solutions, including but not limited to: buil...
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
A collection of sample programs, notebooks, and tools which highlight the power of the MAX Platform
A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local Ingestion, Inference and Indexing solution, built in Rust.
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
模型部署白皮书(CUDA|ONNX|TensorRT|C++)🚀🚀🚀
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
ComfyUI Depth Anything (v1/v2) Tensorrt Custom Node (up to 14x faster)
Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.
AivisSpeech Engine: AI Voice Imitation System - Text to Speech Engine
A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models.
SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as us...
A utility to inspect, validate, sign and verify machine learning model files.
Get up and running with SAM, EfficientSAM, YOLO-World, and other promptable vision models locally.
Open source real-time translation app for Android that runs locally
Unified framework for building enterprise RAG pipelines with small, specialized models
Visualizer for neural network, deep learning and machine learning models
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
Effortless data labeling with AI support from Segment Anything and other awesome models.
《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。
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A collection of pre-trained, state-of-the-art models in the ONNX format
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
A collection of sample programs, notebooks, and tools which highlight the power of the MAX Platform
Open source real-time translation app for Android that runs locally
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.
模型部署白皮书(CUDA|ONNX|TensorRT|C++)🚀🚀🚀
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference
Python scripts performing Metric Monocular Depth Estimation using the Unidepth model in ONNX.
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
ComfyUI Depth Anything (v1/v2) Tensorrt Custom Node (up to 14x faster)
👀 Apply YOLOv8 exported with ONNX or TensorRT(FP16, INT8) to the Real-time camera
《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。
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V,...
AivisSpeech Engine: AI Voice Imitation System - Text to Speech Engine
A library for training, compressing and deploying computer vision models (including ViT) with edge devices
GUI for upscaling ONNX models with NVIDIA TensorRT and Vapoursynth