Stars
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
🏡 Open source home automation that puts local control and privacy first.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The world's simplest facial recognition api for Python and the command line
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The fundamental package for scientific computing with Python.
Minimal examples of data structures and algorithms in Python
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A curated list of awesome mathematics resources
Style transfer, deep learning, feature transform
code for Data Science From Scratch book
Distributed Asynchronous Hyperparameter Optimization in Python
Implementation of Graph Convolutional Networks in TensorFlow
A curated list of data science blogs
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Representation learning on large graphs using stochastic graph convolutions.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
StellarGraph - Machine Learning on Graphs
Graph Neural Networks with Keras and Tensorflow 2.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
Tradução do livro Pense em Python (2ª ed.), de Allen B. Downey