Oliver lee's repositories
Cpp_houjie
侯捷C++课程PPT及代码,动手学起来
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！
deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AnnotatedNetworkModelGit
加注释的网络模型（便于理解）
BSN-boundary-sensitive-network
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
C-Sharp-Algorithms
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
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
Girls-In-AI
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
github_first
others repository
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
practicalAI
📚 A practical approach to learning and using machine learning.
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
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
SDHCAL_DAQ
New SDHCAL DAQ Workspace
Video-Summarization-using-Keyframe-Extraction-and-Video-Skimming
Experimenting with different Summarizing techniques on SumMe Dataset