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This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlis…
Complete, working programs, plus Markdown sources, from the C++ tutorial hosted at learnmoderncpp.com
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
meme generator extension for firefox and chrome
A rewrite of our ChronoFactorem project
A collection of algorithms and data structures
My Competitive Programming templates, Standard problems, and solutions to cp problems
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Accepted Solutions to the CSES Competitive Programming Problem Set
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
Master programming by recreating your favorite technologies from scratch.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A topic-centric list of HQ open datasets.
Curated list of project-based tutorials
Every time I have an idea, I write it down. These are a collection of my top software ideas -- problems I think enough people have that don't have solutions. I expect you can reach a decent userbas…
A Fullstack Template Generator for Javascript and Django Apps
Includes all the resources for Core CS fundamentals
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
A boilerplate for Node.js web applications
Papers from the computer science community to read and discuss.
Mapping the Grokking Coding Interview Patterns to LeetCode
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
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.
Code samples for my book "Neural Networks and Deep Learning"