wintrumwang Goto Github PK

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

adaboost.c2mil

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[email protected] 版权所有，违权必究 Tan 2018.06

dragonstar2019

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

mgc-biosb-singlecellanalysis2020

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