Highlights
Stars
A collection of algorithms and data structures
OpenZeppelin Contracts is a library for secure smart contract development.
π€ Keep your forks up-to-date via automated PRs
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Curated list of project-based tutorials
[DEPRECATED] Mist. Browse and use Γapps on the Ethereum network.
A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips π·π·π·. Distributed is the new centralized.
Node.js JavaScript runtime β¨π’πβ¨
Go implementation of the Ethereum protocol
This is the code for "Learn Blockchain in 2 Months" by Siraj Raval on Youtube
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The most cited deep learning papers
π An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Code samples for my book "Neural Networks and Deep Learning"
Introduction to Deep Learning for Image Recognition
Advanced Scikit-learn training session