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awesome-deep-learning-papers

The most cited deep learning papers

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cnblogpublishtool

博客园文章快捷发布工具

cuda_notes

It is a very brief but interesting story about cuda, you can learn more in "Intro to Parallel Programming"

data-structure

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析

dec-da

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

decisiontree

This is my C++ implementation of the id3 decision tree, and I visualized the decision tree in python, mainly using what I learned in data structure.

deep-clustering-paper

deep_learning_object_detection

A paper list of object detection using 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

frozen-in-time

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]

itq-image-retrieval

This code used for Image Retrieval

latex-template-cn

\LaTeX 中文模版收集。

linear-algebra

Not what I wrote, I think he wrote very well. So share it here. You can study with MIT's open class.(https://open.163.com/movie/2010/11/7/3/M6V0BQC4M_M6V29E773.html)

machine-learning

I placed the notes on learning machine learning at the time, and there are related matlab code i had implemented.

neural-networks-for-xor

XOR is an important problem in nn, this is a easy nn implemented by numpy for solving xor problem.

object-detection-notes

from RCNN to Mask RCNN, record my learning path in reading paper

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch-template

PyTorch deep learning projects made easy.

region_learner

The Pytorch implementation for "Video-Text Pre-training with Learned Regions"

resume

An elegant \LaTeX\ résumé template

slic_superpixels

SLIC Superpixels* implementation was my final computer vision project. Superpixels are instrumental in segmentation. This implementation is a proof of concept as taken from SLICsuperpixels paper mentioned in README.

sololearn-tutorial

Sololearn is a very interesting platform for learning programming, but currently only in English, so I did a little work to translate it into Chinese, hoping to help everyone.

ssdh_pytorch

Source code for paper "Semantic Structure-based Unsupervised Deep Hashing" on IJCAI-2018

tbh

Auto-Encoding Twin-Bottleneck Hashing for CVPR2020

thinkpython2

《像计算机科学家一样思考python》(第2版) 中文版带习题答案

unsupervised-image-segmentation-by-wnet-with-normalizedcut

A tensorflow implementation of WNet for unsupervised image segmentation on PASCAL VOC 2012 dataset