Stars
🦜🔗 Build context-aware reasoning applications
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)
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