Pinned Repositories
AlgorithmsSedgewick
Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
best-resume-ever
:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.
C2ReST
C2ReST-1
The data and code of C2ReST.
CrossTReS
Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
CS-Xmind-Note
计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）
dive-into-cv-pytorch
动手学CV-Pytorch版
Ginkgo-Cheung's Repositories
Ginkgo-Cheung/dive-into-cv-pytorch
动手学CV-Pytorch版
Ginkgo-Cheung/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Ginkgo-Cheung/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Ginkgo-Cheung/best-resume-ever
:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.
Ginkgo-Cheung/C2ReST
Ginkgo-Cheung/C2ReST-1
The data and code of C2ReST.
Ginkgo-Cheung/CrossTReS
Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection
Ginkgo-Cheung/CS-Xmind-Note
计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）
Ginkgo-Cheung/CUDA_Freshman
Ginkgo-Cheung/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Ginkgo-Cheung/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Ginkgo-Cheung/detr
End-to-End Object Detection with Transformers
Ginkgo-Cheung/feature-engineering-handbook
A practical feature engineering handbook
Ginkgo-Cheung/GNN_Review
GNN综述阅读报告
Ginkgo-Cheung/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Ginkgo-Cheung/json-tutorial
从零开始的 JSON 库教程
Ginkgo-Cheung/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
Ginkgo-Cheung/MIT6.828
实现一个操作系统内核
Ginkgo-Cheung/ML_mindmap
Ginkgo-Cheung/MyTinySTL
Achieve a tiny STL in C++11
Ginkgo-Cheung/NetServer
A C++ High Performance Net Library
Ginkgo-Cheung/python-cheatsheet
Comprehensive Python Cheatsheet
Ginkgo-Cheung/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Ginkgo-Cheung/Reflection_Summary
算法理论基础知识应知应会
Ginkgo-Cheung/ReID_tutorial_slides
《深度学习与行人重识别》课程课件
Ginkgo-Cheung/Semantic-Segmentation-Guide
A Theory and Practical Guide to Deep Learning Semantic Segmentation
Ginkgo-Cheung/STGODE
Spatial-Temporal Graph ODE Neural Network
Ginkgo-Cheung/USTC-SSE-Courses
中科大软件学院研究生部分课程，持续更新。仅用于学习，禁止商用
Ginkgo-Cheung/uthread
一个简单的用户级线程库
Ginkgo-Cheung/WebServer
A C++ High Performance Web Server