Stars
Torch + bash scripts for training a web of truth (literal objective incontrovertible truth, because it obviously exists)
A collection of tips and tricks for data visualization in Python.
Platform for building AI that can learn and answer questions over federated data.
Jupyter notebooks for Computational Content Analysis
Perspectives on Computational Analysis (MACS 30000), Autumn 2018
Computational math and stats camp for UChicago MACSS program
Module for statistical learning, with a particular emphasis on time-dependent modelling
Observations from Ian on successfully delivering data science products
The machine learning library you really understand.
Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers
Face recognition with deep neural networks.
General purpose unsupervised sentence representations
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Web Service for E-Discovery Analytics
Contains Jupyter Notebooks of stuff I am working on.
Bayesian Modeling and Probabilistic Programming in Python
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
💫 Jupyter notebooks for spaCy examples and tutorials
💫 Industrial-strength Natural Language Processing (NLP) in Python
Metric learning algorithms in Python
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A conversational bot for assisting in customer support. Hackathon bot.
Implementation of the improved CMFS algorithm for feature selection