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Search results for python onnx
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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Open standard for machine learning interoperability
Clip As Service
🏄 Embed/reason/rank images and sentences with CLIP models
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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 🚀
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Setup and customize deep learning environment in seconds.
PyTorch ,ONNX and TensorRT implementation of YOLOv4
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
人像卡通化探索项目 (photo-to-cartoon translation project)
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Neural Network Libraries
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
OpenMMLab Model Deployment Framework
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Gen Efficientnet Pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Tensorflow Backend for ONNX
Robust realtime face and facial landmark tracking on CPU with Unity integration
Face Detector 1mb With Landmark
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Reference implementations of MLPerf™ inference benchmarks
Machine learning on FPGAs using HLS
ONNXMLTools enables conversion of models to ONNX
🥂 Gracefully face hCaptcha challenge with YOLOv6(ONNX) embedded solution.
Translate - a PyTorch Language Library
The training program for libfacedetection for face detection and 5-landmark detection.
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
Pytorch Auto Drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Yolov5 Rt Stack
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Epic Awesome Gamer
🍷 Gracefully claim weekly free games and monthly content from Epic Store.
ONNX Model Exporter for PaddlePaddle
Mmdetection To Tensorrt
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
PFLD pytorch Implementation
Convert scikit-learn models and pipelines to ONNX
PyTorch implementation of the YOLO (You Only Look Once) v2
Confidential AI deployment with secure enclaves 🔒
A general and accurate MACs / FLOPs profiler for PyTorch models
A semantic segmentation toolbox based on PyTorch
Tool for onnx->keras or onnx->tflite. If tool is useful for you, please star it.
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
A single stage object detection toolbox based on PyTorch
Image Processing Node Editor
処理の検証や比較検討での用途を想定したノードエディターベースの画像処理アプリ(A node editor-based image processing application intended for use in processing verification and comparison studies)
Convert ONNX models to PyTorch.
InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
PyTorch implementations of neural network models for keyword spotting
Convert tf.keras/Keras models to ONNX
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
ONNX to Core ML Converter
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Torch Fx Pytorch Model Converter
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the
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). I don't need a Star, but give me a pull request.
Pytorch Pfn Extras
Supplementary components to accelerate research and development in PyTorch
NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
an edge-real-time anchor-free object detector with decent performance
PyTorch Project Specification.
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Represent trained machine learning models as Pyomo optimization formulations
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
MobileNetV3-SSD for object detection and implementation in PyTorch
Simple Onnx Processing Tools
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
Run PyTorch models in the browser using ONNX.js
Implementation of PFLD For 68 Facial Landmarks By Pytorch
Caffe2 implementation of Open Neural Network Exchange (ONNX)
Common utilities for ONNX converters
Stable Diffusion Onnx Fp16
Example code and documentation on how to get Stable Diffusion running with ONNX FP16 models on DirectML. Can run accelerated on all DirectML supported cards including AMD and Intel.
PyTorch implementation of LeNet-5 with live visualization
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Tensorrt Inference Server Tutorial
PyTorch 3D video classification models pre-trained on 65 million Instagram videos
Gccpm Look Into Person Cvpr19.pytorch
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
🐤 Nix-TTS: Lightweight and End-to-end Text-to-Speech via Module-wise Distillation
Torch Model Compression
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
LLaMa/RWKV onnx models, quantization and testcase
Ml Model Ci
MLModelCI 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.
Onnx Yolov7 Object Detection
Python scripts performing object detection using the YOLOv7 model in ONNX.
Kaldi model converter to ONNX
A parser, editor and profiler tool for ONNX models.
YOLOv5 in TensorRT
Chainer implementation of waifu2x
Convert TensorFlow Lite models (*.tflite) to ONNX.
A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX
From Pytorch To Coreml
A simple guide that explains the steps from training a simple PyTorch image classifier to converting the generated neural network into a CoreML model ready for production
Orkhon: ML Inference Framework and Server Runtime
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)
Convmelspec: Convertible Melspectrograms via 1D Convolutions
Onnx Mobile Human Pose 3d
Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
Python Machine Learning (20,195)
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