longnanxi

longnanxi's Stars

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.6k270

• mepeichun/Efficient-Neural-Network-Bilibili

  B站Efficient-Neural-Network学习分享的配套代码

  Language:Jupyter Notebook29690

• lhyfst/knowledge-distillation-papers

  knowledge distillation papers

  74283

• JaidedAI/EasyOCR

  Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

  Language:Python25k3.2k

• baudm/parseq

  Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)

  Language:Python605127

• BADBADBADBOY/pytorchOCR

  基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn

  Language:C++678133

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k

• ihongxx/Resnet50_TensorRT

  Language:Python95

• XH-B/ABM

  Language:Python10122

• Monday-Leo/YOLOv7_Tensorrt

  A simple implementation of Tensorrt YOLOv7

  Language:Python10816

• meituan/YOLOv6

  YOLOv6: a single-stage object detection framework dedicated to industrial applications.

  Language:Jupyter Notebook5.7k1k

• lucasjinreal/yolov7_d2

  🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

  Language:Python3.1k482

• robintzeng/Pytorch-CSPNet

  Language:Python84

• chineseocr/trocr-chinese

  transformers ocr for chinese

  Language:Python36756

• wkentaro/pytorch-fcn

  PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

  Language:Python1.8k481

• facebookresearch/Mask2Former

  Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

  Language:Python2.6k396

• VainF/DeepLabV3Plus-Pytorch

  Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

  Language:Python2.1k452

• fregu856/deeplabv3

  PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

  Language:Python776180

• 920232796/SETR-pytorch

  Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.

  Language:Python13020

• jfzhang95/pytorch-deeplab-xception

  DeepLab v3+ model in PyTorch. Support different backbones.

  Language:Python2.9k783

• lucidrains/segformer-pytorch

  Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

  Language:Python34543

• facebookresearch/MaskFormer

  Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

  Language:Python1.4k152

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.7k364

• fudan-zvg/SETR

  [CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

  Language:Python1.1k149

• rstrudel/segmenter

  [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

  Language:Python853178

• delta-onera/segnet_pytorch

  SegNet implemetation using PyTorch

  Language:Python15048

• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

  Language:C++4.4k769

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.2k693

• bubbliiiing/centernet-pytorch

  这是一个centernet-pytorch的源码，可以用于训练自己的模型。

  Language:Python37197

• zhenghao977/FCOS-PyTorch

  A pure torch implement of FCOS 37.2AP

  Language:Python16742