Library for fast text representation and classification.

A curated list of awesome warez and piracy links

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

Source Code for the book: Machine Learning in Action published by Manning

A collaboratively written review paper on deep learning, genomics, and precision medicine

A frictionless, pipeable approach to dealing with summary statistics

Data sets created for stories on The Pudding, open to the public.

Twitter NLP Tools

Quickly and securely turn your code projects into LLM prompts, all locally on your own machine!

Get protein embeddings from protein sequences

Official repository for the ProteinGym benchmarks

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

Hetionet: an integrative network of disease

PYthon Automated Term Extraction

Med-BERT, contextualized embedding model for structured EHR data

Performance of various open source GBM implementations

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, …

Electricity load forecasting with LSTM (Recurrent Neural Network)

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

Comparing fairness-aware machine learning techniques.

Library for fast text representation and extreme classification.

UKB RAP Notebooks contains a collection of examples of how to use UK Biobank Research Analyses Platform (RAP).

An ongoing fun challenge where I'll try to post one Python benchmark per day.

MSAN692 Data Acquisition

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Project to understand pharmaceutical spending, currently focused on US government programs.