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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

augmentor

Image augmentation library in Python for machine learning.

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)

decision_tree-python

决策树分类（ID3，C4.5，CART）

deep-learning-tools

Tools about deep learning.

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，近30万字。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

deepresearch

This repository is the collection of research papers in Deep learning, computer vision and NLP.

detectorch

Detectorch - detectron for PyTorch

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

indentline

A vim plugin to display the indention levels with thin vertical lines

leetcode

LeetCode刷题

linux

machinelearning

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

ml

machine learning inaction

ml_algorithm

opencv

self-study for OpenCV2

pandas-study

self-study for Pandas

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python

pytorch

pytorch-fcn

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

pytorch-fcn-easiest-demo

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

pytorch-segmentation

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

pytorch-unet-1

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

scikit-learn

sklearn study

semseg

常用的语义分割架构结构综述以及代码复现

ternausnet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

test