KenHollandWHY

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Front-End-Performance-Checklist

🎮 The only Front-End Performance Checklist that runs faster than the others

ml-videos

A collection of video resources for machine learning

milewski-ctfp-pdf

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

vscode-ipe

Interactive programming experience for data scientists: Visual Studio Code extension

catalyst

Accelerated deep learning R&D

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

reinforcement-learning

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

Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

ml5-examples

A collection of ml5.js examples

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

pytorch-serverless

FastAI PyTorch Serverless API (w/ AWS Lambda)

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way. No scripts.

Introduction_p5js

This is a french introduction to p5*js

psmm

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Deep-Learning

A few notebooks about deep learning in pytorch

MUNIT

Multimodal Unsupervised Image-to-Image Translation

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

machine-learning

Implementation of different machine learning techniques

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

Keras-GAN

Keras implementations of Generative Adversarial Networks.

deep-learning

Toy neural networks made with NumPy

DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

nlstm

Nested LSTM Cell

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

dni.pytorch

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

book-notes

Notes from books and other interesting things that I've read. Table of contents at the end 👇