Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Resources for "Natural Language Processing" Coursera course.

BERT for Multitask Learning

A repository containing tutorials for practical NLP using PyTorch

Sequence-to-Sequence Framework in PyTorch

Public Repository for cs109a, 2017 edition

Tutorials for Fall 2018

Multi Text Classificaiton

Tutorials for Spring 2018

Code for the paper "Measuring Bias in Contextualized Word Representations"

SearchBetter: query rewriting for search engines on small corpuses (Harvard research project)

Graph of words (Networkx) and keywords extraction (Ktruss, Kcore, DivRank, BestCoverage)

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 ;)