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rivetzhang's Projects

algorithm_interview_notes-chinese icon 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

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bank_interview icon bank_interview

:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)

camp_iccv19 icon camp_iccv19

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

cbam.pytorch icon cbam.pytorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

deeplearning-500-questions icon 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

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

ldcnn icon ldcnn

MatConvNet implementation for low dimensional CNN “Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval”

mhcln icon mhcln

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

ml_gcn icon ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

netron icon netron

Visualizer for deep learning and machine learning models

opentsne icon opentsne

Extensible, parallel implementations of t-SNE

pca-gm icon pca-gm

Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rsicd_optimal icon rsicd_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

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