📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

😎 Awesome lists about all kinds of interesting topics

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

Statistical Rethinking course in pymc3

A Code-First Introduction to NLP course

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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 lear…

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Bayesian Deep Learning Benchmarks

Public facing notes page

This repository contains papers and resources pertaining to Hate speech research.

Natural Language Processing Best Practices & Examples

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PyMC educational resources

A library for training and deploying machine learning models on Amazon SageMaker

A complete computer science study plan to become a software engineer.

A natural language modeling framework based on PyTorch

Library for fast text representation and classification.

Tensors and Dynamic neural networks in Python with strong GPU acceleration