WintrumWang's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100_Days_of_ML_Code
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
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
Bug-tracking for Jeff's algorithms book, notes, etc.
bi028
Course materials for "Linux programming for Bioinformatics"
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
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............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
feature-engineering-for-ml-zh
:book: [译] 面向机器学习的特征工程
GINN
Graph Imputation Neural Network
github-roam
GitHub 漫游指南- a Chinese ebook on how to build a good build on Github. Explore the users' behavior. Find some thing interest.
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
libpku
北京大学课程资料整理
nlp_course
YSDA course in Natural Language Processing
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
THU-CST-Cracker
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
WintrumWang.github.io
My Homepage
zju-icicles
浙江大学课程攻略共享计划