A playbook for systematically maximizing the performance of deep learning models.

A collection of design patterns/idioms in Python

🔖 A toolkit for making domain-specific probabilistic parsers

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

Data and code behind the articles and graphics at FiveThirtyEight

💻 For everyone who wants to know more about the terminal I use

Python Implementation of Reinforcement Learning: An Introduction

Research papers with annotations, illustrations and explanations

Python AUdio Recording and Analysis (paura)

A library of reinforcement learning components and agents

Companion webpage to the book "Mathematics For Machine Learning"

Python Data Science Handbook: full text in Jupyter Notebooks

Benchmark and build RL architectures that can do multitask and transfer learning.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

The fastai book, published as Jupyter Notebooks

COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer

A full spaCy pipeline and models for scientific/biomedical documents.

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Code and hyperparameters for the paper "Generative Adversarial Networks"

Code for the paper "Language Models are Unsupervised Multitask Learners"

Open Source Computer Vision Library