cuicheng01's repositories
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awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
inat_comp
iNaturalist competition details
Inference
The collection about paddle inference, onnxruntime inference, and TensorRT inference benchmark.
InterpretDL
InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。https://interpretdl.readthedocs.io/en/latest/index.html
LeViT
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
models
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
PaddleRS
Awesome Remote Sensing Toolkit based on PaddlePaddle
PaddleSeg
End-to-end image segmentation kit based on PaddlePaddle.
PaddleVideo
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
ShuffleNet
This is a fast caffe implementation of ShuffleNet.
styleguide
文档与源码编写风格
vision
Datasets, Transforms and Models specific to Computer Vision
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
X2Paddle
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)