doudouwenhui Goto Github PK

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

aon

Implementation for CVPR 2018 text recognition Paper by Tensorflow: "AON: Towards Arbitrarily-Oriented Text Recognition"

attn-gan

Pytorch implementation of paper: AttnGAN Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

bert

TensorFlow code and pre-trained models for BERT

books

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

corner_segmentation_textdetection

Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research. DeepNude的算法以及通用图像生成的理论与实践研究。

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

doudouwenhui.github.io

BY Blog ->

east

Reappearance 'EAST：An Efficient and Accurate Scene Text Detector' with pytorch

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet

Face recognition using Tensorflow

fots.pytorch

FOTS Pytorch Implementation

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

identityimagerecognition

Identity Image Recognition

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

itn

ITN Project codes and models for CVPR 2018 paper: Geometry-Aware Scene Text Detection with Instance Transformation Network

lattice

题目描述 有n个格子，从左到右放成一排，编号为1-n。 共有m次操作，有3种操作类型： 1.修改一个格子的权值， 2.求连续一段格子权值和， 3.求连续一段格子的最大值。 对于每个2、3操作输出你所求出的结果。 输入 输入第一行两个整数，n表示格子个数，m表示操作次数，n和m中间用空格隔开； 接下来输入n行，每行一个整数表示一个格子的权值 接下来输入m行，每行有三个整数，中间用空格隔开；第一个是选择的操作类型1-3,第二和第三个整数是操作格子的编号。 样例输入 3 3 7 8 9 2 1 3 3 1 3 2 1 2 输出 若执行1操作则无输出 若执行2和3操作则输出一个整数 样例输出 24 9 15

machine-learning-session

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

matlab

metalearning4nlp-papers

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

mli-resources

H2O.ai Machine Learning Interpretability Resources

ocr

Tensorflow re-implementation of the recognition part the paper "Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework"