Data from Tax Foundation's Facts and Figures report.

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

🤖 A framework for building GitHub Apps to automate and improve your workflow

Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

A tool for extracting plain text from Wikipedia dumps

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Train Spacy ner with custom dataset

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multi…

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

A scikit-learn compatible neural network library that wraps PyTorch

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Cut and paste your surroundings using AR

movie recommendation model using lightfm

Working on Gradient Descent

Analysis of tweets to understand he highs and lows of crypto currency

Compilation of practiced ML algorithms