leihao1's Stars
getify/You-Dont-Know-JS
A book series (2 published editions) on the JS language.
twbs/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
fffaraz/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
terryum/awesome-deep-learning-papers
The most cited deep learning papers
krishnadey30/LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
oxnr/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
careercup/CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
mission-peace/interview
Interview questions
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
alteryx/featuretools
An open source python library for automated feature engineering
guodongxiaren/README
README文件语法解读，即Github Flavored Markdown语法介绍
google/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
awangdev/leet-code
Java Solutions to problems on LintCode/LeetCode
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
asadoughi/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
cs109/content
Official content for Harvard CS109
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Burton2000/CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university
emredjan/ISL-python
Porting the R code in ISL to python. Labs and exercises
deric/clustering-benchmark
Zhenye-Na/advanced-deep-learning-and-reinforcement-learning-deepmind
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
xiumingzhang/cheatsheets
Frequently Used Unix, FFmpeg, and ImageMagick Commands
YidingYu/UCL-DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced course on Deep Learning and Reinforcement Learning given by DeepMind team at UCL.