SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

An evolving guide to learning Deep Learning effectively.

A latent-variable model for learning bilingual word embedding mappings

Code for Learning to select data for transfer learning with Bayesian Optimization

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.

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

Resources for "Natural Language Processing" Coursera course.

Public facing notes page

(Deprecated) Visit this one -> https://bn.mlmodel.fit/

A complete daily plan for studying to become a machine learning engineer.

100 Days of ML Coding

A complete computer science study plan to become a software engineer.

A topic-centric list of HQ open datasets.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Code and hyperparameters for the paper "Generative Adversarial Networks"