The fastai deep learning library

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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…

A course in reinforcement learning in the wild

Notebooks for learning deep learning

Resources for "Natural Language Processing" Coursera course.

Pytorch starter kit for Kaggle competitions

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Image similarity using Triplet Loss

Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

Python/Numpy bspline implementation via Cox - de Boor

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

Files for Fast.ai part 2

A simple keras port of omoindrot's tensorflow-triplet-loss repository.

Financial Reinforcement Learning Projects using Python

A python package to convert numbers in word form to the traditional digit (numeric) form