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

Build your neural network easy and fast, 莫烦Python中文教学

NYU Deep Learning Spring 2020

The Udacity open source self-driving car project

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Hierarchical Attention Networks for Document Classification in PyTorch

Machine learning course materials.

DS-GA-1011 Natural Language Processing with Representation Learning

Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".