The world's simplest facial recognition api for Python and the command line

Python Data Science Handbook: full text in Jupyter Notebooks

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

PyTorch Tutorial for Deep Learning Researchers

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…

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 ;)

📝 An awesome Data Science repository to learn and apply for real world problems.

The fastai deep learning library

A curated list of awesome Deep Learning tutorials, projects and communities.

The most cited deep learning papers

A game theoretic approach to explain the output of any machine learning model.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

VIP cheatsheets for Stanford's CS 229 Machine Learning

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Data and code behind the articles and graphics at FiveThirtyEight

👔 💼 Build fast 🚀 and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

Oxford Deep NLP 2017 course

Jupyter metapackage for installation and documentation

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Lime: Explaining the predictions of any machine learning classifier

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

NYU Deep Learning Spring 2020

Awesome paper list with code about generative adversarial nets

A curated list of data science blogs

Code for Tensorflow Machine Learning Cookbook

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Image super-resolution through deep learning