Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Official inference library for Mistral models

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Introduction to Deep Neural Networks with Keras and Tensorflow

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

Examples of Machine Learning code using Comet.ml

Supporting code for the paper "Discovery of a structural class of antibiotics with explainable deep learning"

Spinal cord gray matter segmentation using deep dilated convolutions.