GSOCRepository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Stars: ✭ 61 (-84.28%)
kinferenceRunning ONNX models in vanilla Kotlin
Stars: ✭ 70 (-81.96%)
enhanced-ssh-mxnetThe MXNet Implementation of Enhanced SSH (ESSH) for Face Detection and Alignment
Stars: ✭ 54 (-86.08%)
PSGAN-NCNNPSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡
Stars: ✭ 140 (-63.92%)
Onnx Goonnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
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model-zoo-oldThe ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format
Stars: ✭ 38 (-90.21%)
sparsifyEasy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
Stars: ✭ 138 (-64.43%)
deepvacPyTorch Project Specification.
Stars: ✭ 507 (+30.67%)
wonnxA GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web
Stars: ✭ 160 (-58.76%)
Peppa pig face engineA simple face detect and alignment method, which is easy and stable.
Stars: ✭ 329 (-15.21%)
AnimeGANv3Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Stars: ✭ 878 (+126.29%)
YOLOXYOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Stars: ✭ 6,570 (+1593.3%)
AgentOCR一个多语言支持、易使用的 OCR 项目。An easy-to-use OCR project with multilingual support.
Stars: ✭ 98 (-74.74%)
ONNX-Mobile-Human-Pose-3DPython scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
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epic-awesome-gamer🍷 Gracefully claim weekly free games and monthly content from Epic Store.
Stars: ✭ 600 (+54.64%)
vs-mlrtEfficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)
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amdovx-modulesAMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.
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3ddfaThe PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Stars: ✭ 3,154 (+712.89%)
face-datasetsSome handy scripts for processing face datasets
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iqiyi-vid-challengeCode for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet
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TengineTengine is a lite, high performance, modular inference engine for embedded device
Stars: ✭ 4,012 (+934.02%)
EfficientIR人工智障本地图片检索工具 | An EfficientNet based image retrieval tool
Stars: ✭ 64 (-83.51%)
LibonnxA lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Stars: ✭ 217 (-44.07%)
DistillerNeural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Stars: ✭ 3,760 (+869.07%)
NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+4331.19%)
ppqPPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Stars: ✭ 281 (-27.58%)
Php Opencvphp wrapper for opencv
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serving-runtimeExposes a serialized machine learning model through a HTTP API.
Stars: ✭ 15 (-96.13%)
Mobilenetv3 SsdMobileNetV3-SSD for object detection and implementation in PyTorch
Stars: ✭ 188 (-51.55%)
Kaldi OnnxKaldi model converter to ONNX
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Dest🐼 One Millisecond Deformable Shape Tracking Library (DEST)
Stars: ✭ 276 (-28.87%)
DtlnTensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
Stars: ✭ 147 (-62.11%)
Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
Stars: ✭ 13,376 (+3347.42%)
ONNX-ImageNet-1K-Object-DetectorPython scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.
Stars: ✭ 18 (-95.36%)
KelpnetPure C# machine learning framework
Stars: ✭ 136 (-64.95%)
YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
Stars: ✭ 61 (-84.28%)
Ml Model CiMLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
Stars: ✭ 122 (-68.56%)
X2paddleDeep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
Stars: ✭ 315 (-18.81%)
Yolov5YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Stars: ✭ 19,914 (+5032.47%)
AI-LABThis repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... 🐋🔥
Stars: ✭ 44 (-88.66%)
Onnx2kerasConvert ONNX model graph to Keras model format.
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onnxruntime-rsRust wrapper for Microsoft's ONNX Runtime (version 1.8)
Stars: ✭ 149 (-61.6%)
MivisionxMIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.
Stars: ✭ 100 (-74.23%)
Pytorch Yolov4PyTorch ,ONNX and TensorRT implementation of YOLOv4
Stars: ✭ 3,690 (+851.03%)
FaceI have published my face related codes in this repository
Stars: ✭ 53 (-86.34%)
Openvtuber虚拟爱抖露(アイドル)共享计划, 是基于单目RGB摄像头的人眼与人脸特征点检测算法, 在实时3D面部捕捉以及模型驱动领域的应用.
Stars: ✭ 365 (-5.93%)
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Stars: ✭ 333 (-14.18%)
Deepcvendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
Stars: ✭ 260 (-32.99%)
FacialLandmark TFFacial landmarks training by tensorflow. Use for face alignment and so on.
Stars: ✭ 22 (-94.33%)
pytorch-android[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
Stars: ✭ 105 (-72.94%)