DAVID-Hown

DAVID-Hown's Stars

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python97k3.1k2.7k9.8k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell53k38324411.7k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.2k623774.8k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.5k530835.4k

• greyireland/algorithm-pattern

  算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

  Language:Go15.3k355332.6k

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.5k2295172.4k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k416243.3k

• opencv/opencv_contrib

  Repository for OpenCV's extra modules

  Language:C++9.5k3831.5k5.8k

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k388311.7k

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.8k1111092k

• hzy46/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

  Language:Python4.5k163941.8k

• KaiyangZhou/deep-person-reid

  Torchreid: Deep learning person re-identification in PyTorch.

  Language:Python4.4k1075481.1k

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k57142495

• oreillymedia/Learning-OpenCV-3_examples

  Language:C++2.3k12428905

• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.2k350500

• allentofight/easy-cs

  CS，如此简单!

  1.4k322203

• puge-up/programming-play

  致力于实习/校招/社招进大厂打法，计算机基础知识学习，C++、Java、算法学习路线，专注于编程打法！

  1.2k5076

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python901937206

• tensorfreitas/Siamese-Networks-for-One-Shot-Learning

  Implementation of Siamese Neural Networks for One-shot Image Recognition

  Language:Python6091520180

• bingykang/Fewshot_Detection

  Few-shot Object Detection via Feature Reweighting

  Language:Python5391693113

• fangpin/siamese-pytorch

  Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

  Language:Python28731561

• gdlg/pytorch_compact_bilinear_pooling

  Compact Bilinear Pooling for PyTorch

  Language:Python25361443

• Deepayan137/DeepClustering

  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

  Language:Python1332223

• HaoMood/blinear-cnn-faster

  A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

  Language:Python1244527

• XuejiaoYuan/BSpline

  b spline surface for use

  Language:Python765323

• geekyutao/GraphIQA

  GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment

  Language:Python42578

• icarofua/siamese-two-stream

  The paper "A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras"

  Language:Python29328

• marsggbo/sppnet-pytorch

  A simple Spatial Pyramid Pooling layer which could be added in CNN

  Language:Python222031

• amitabhama/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15个章节，近20万字。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............ 版权所有，违权必究 Tan 2018.06

  10108

• anch3or/PRML-Notes

  《Pattern Recognition and Machine Learning》LaTex公式笔记

  Language:Jupyter Notebook4202