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Infoblox
- Seattle
- https://chhayac.github.io/
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
๐ Path to a free self-taught education in Computer Science!
A collection of (mostly) technical things every software developer should know about
A curated list of awesome Machine Learning frameworks, libraries and software.
List of Computer Science courses with video lectures.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Everything you need to know to get the job.
๐ List of awesome university courses for learning Computer Science!
๐ A list of practical projects that anyone can solve in any programming language.
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Style guides for Google-originated open-source projects
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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 learโฆ
100+ Python challenging programming exercises
๐ An awesome Data Science repository to learn and apply for real world problems.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The most cited deep learning papers
Minimal examples of data structures and algorithms in Python
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Best Practices on Recommendation Systems
โค๏ธ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. ๐ Learn Go by fixing 1000+ tiny programs.
Everything you need to prepare for your technical interview
๐ A curated list of resources dedicated to Natural Language Processing (NLP)
machine learning and deep learning tutorials, articles and other resources