Hands-On-Design-Patterns-with-Kotlin, published by Packt

This repository contains the text for the Tiny Python 3.9 Notebook.

Deep Learning (with PyTorch)

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

100 Must-Read NLP Papers

[Open Source]. The improved version of AnimeGAN.

Companion webpage to the book "Mathematics For Machine Learning"

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Natural Language Processing Tutorial for Deep Learning Researchers

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

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

Full Stack Deep Learning Online Course

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

WIP: Roadmap to becoming a machine learning engineer in 2020

Draft of the fastai book

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

A curated list of awesome places to learn and/or practice algorithms.

Kotlin By Example

Introduction to Big Data

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

🤓 Build your own (insert technology here)

Android Developer Roadmap 2019

A collection of (mostly) technical things every software developer should know

There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.

A thorough introduction to Kotlin, aimed at developers with a background in Python or other dynamic languages.

Learn Deep Reinforcement Learning in 60 days! DeepMind, Python, PyTorch, OpenAI Gym, GitHub