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100-days-of-ml-code

100-Days-Of-ML-Code中文版

ailab

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

att-chemdner

Att-ChemdNER

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2017、2018、2019文章

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

background-matting

Background Matting: The World is Your Green Screen

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

ciss-net

The experimental code in Tensorflow for CiSS-Net

classifier_bilstm_attention.py

LSTM三分类问题

code

LeetCode，剑指offer题解

codinginterviewchinese2

《剑指Offer》第二版源代码

context-aware-loss

A Context-Aware Loss Function for Action Spotting in Soccer Videos

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

cs-notes

:books: 技术面试必备基础知识

cv-news

Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation)

cvpr2020-code

CVPR 2020 论文开源项目合集

daily-interview

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

davar-lab-ocr

OCR toolbox from Davar-Lab

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeprop