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ad-papers

Papers on Computational Advertising

agdistis

AGDISTIS - Agnostic Named Entity Disambiguation

amazon-personalize-samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize

ambiverse-nlu

AmbiverseNLU: A Natural Language Understanding suite by Max Planck Institute for Informatics

anhouroflearning

An Hour of Learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-twitter-algo

The release of the Twitter algorithm, annotated for recsys

blink

Entity Linker solution

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

bootleg

Self-Supervision for Named Entity Disambiguation at the Tail

capstone

Research project applying machine learning techniques to process news reports.

causal_debiased_ranking

We will show how to factorize and debias ranking to improve personalization and reduce popularity bias both on item side and to reduce the dominance of power users.

cesi

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

citizen-quotes

A project to demonstrate maximum entropy models for extracting quotes from news articles in Python.

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

co-rise-causal-inference

Helpful files for https://corise.com/course/causal-inference-for-data-science

cookbook

A repository of machine learning codes written for re-usability

coreference-resolution

Coreference Resolution

corise-mlops

co:rise mlops course

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

data-science-books-1

data-wrangling

Code repository for Data Wrangling with Python (O'Reilly)

data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

deep-ed

Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning

deeplearningexamples

Deep Learning Examples

deeptype

Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.