zhiqwang Goto Github PK

act

ACT An Architectural Carbon Modeling Tool for Designing Sustainable Computer Systems

aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

bladedisc

caffe2onnx

caffe model to onnx

cccc-lite

d2go

D2Go is a toolkit for efficient deep learning

demonet

Yet another ssd, with its runtime stack for libtorch, onnx and specialized accelerators.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

easycv

An all-in-one toolkit for computer vision

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastdeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

forward

A library for high performance deep learning inference on NVIDIA GPUs.

huo

🔥 日出江花红胜火，春来江水绿如蓝

jaxonnxruntime

keras-cv

Industry-strength Computer Vision workflows with Keras

keras2ncnn

A keras h5df to ncnn model converter

metaseq

Repo for external large-scale work

mlcc

一些有用的功能

mlprodict

Productionize machine learning predictions, with ONNX or without

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

mmyolo

OpenMMLab YOLO series toolbox and benchmark

namex

Clean up the public namespace of your package!

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nn-editor

nn-meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.