fengdashuai

fengdashuai

Geek Repo

Github PK Tool:Github PK Tool

fengdashuai's repositories

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Stargazers:1Issues:0Issues:0

CVPR2020-Paper-Code-Interpretation

cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理

Stargazers:1Issues:0Issues:0

EAST

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

FOTS.PyTorch

FOTS Pytorch Implementation

Language:C++License:BSD-3-ClauseStargazers:1Issues:0Issues:0

PAN.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Language:C++License:MITStargazers:1Issues:0Issues:0

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

RepPoints

Represent Visual Objects by Point Sets

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Language:PythonLicense:LGPL-3.0Stargazers:1Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

chatbot

一个可以自己进行训练的中文聊天机器人, 根据自己的语料训练出自己想要的聊天机器人,可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本和tf2.0版本。

Stargazers:0Issues:0Issues:0

CPD

Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

Language:PythonStargazers:0Issues:0Issues:0

CRAFT-pytorch

Pytorch implementation of CRAFT text detector

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

License:Apache-2.0Stargazers:0Issues:0Issues:0

jichilen.github.io

https://jichilen.github.io/

Language:JavaScriptStargazers:0Issues:0Issues:0

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

License:Apache-2.0Stargazers:0Issues:0Issues:0

Keras-TextClassification

中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

License:MITStargazers:0Issues:0Issues:0

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

mmdetection

Open MMLab Detection Toolbox with PyTorch

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

OctConv

Code for paper

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

PaddleOCR

基于飞桨的OCR工具库,包含总模型仅8.6M的超轻量级中文OCR,单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测、文本识别的训练算法。

License:Apache-2.0Stargazers:0Issues:0Issues:0
Language:C++Stargazers:0Issues:0Issues:0

R2CNN_Faster-RCNN_Tensorflow

Rotational region detection based on Faster-RCNN.

License:MITStargazers:0Issues:0Issues:0

RetinaNet_Tensorflow_Rotation

Focal Loss for Dense Rotation Object Detection

License:MITStargazers:0Issues:0Issues:0

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

License:MITStargazers:0Issues:0Issues:0

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

Stargazers:0Issues:0Issues:0

text_renderer

Generate text images for training deep learning ocr model

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

yolact

A simple, fully convolutional model for real-time instance segmentation.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

YOLOv3-model-pruning

对 YOLOv3 做模型剪枝(network slimming),对于 oxford hand 数据集(因项目需要),模型剪枝后的参数量减少 80%,Infer 的速度达到原来 2 倍,mAP 基本不变

Language:PythonLicense:MITStargazers:0Issues:0Issues:0