e-ssp's Stars
getify/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Olshansk/interview
Everything you need to prepare for your technical interview
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
mission-peace/interview
Interview questions
OpenMined/PySyft
Perform data science on data that remains in someone else's server
twowaits/SDE-Interview-Questions
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
achael/eht-imaging
Imaging, analysis, and simulation software for radio interferometry
karpathy/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
walkccc/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
shobrook/rebound
Command-line tool that instantly fetches Stack Overflow results when an exception is thrown
srdja/Collections-C
A library of generic data structures for the C language.
rachitiitr/DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
jdwittenauer/ipython-notebooks
A collection of IPython notebooks covering various topics.
ageron/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
madisonmay/CommonRegex
A collection of common regular expressions bundled with an easy to use interface.
Ashishgup1/Competitive-Coding
kavgan/nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
dalmia/Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
codebytere/so-you-want-an-internship
for those seeking software engineering internships
mattm/simple-neural-network
A simple Python script showing how the backpropagation algorithm works.
uvipen/Flappy-bird-deep-Q-learning-pytorch
Deep Q-learning for playing flappy bird game
ranihorev/arxiv-network-graph
Arxiv's ML papers network graph and browser
clesleycode/natural-language-processing
Intro to Natural Language Processing Tutorial
dev-td7/PyBreak
A Python3 tool that brings StackOverflow to your terminal when your Python script breaks!