Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Train transformer language models with reinforcement learning.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Reinforcement Learning based book recommender system

Repository for most of the code from my YouTube channel

A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

A notebook walking through how to use Keras RL to solve Atari environments.

Deep Reinforcement Learning For Sequence to Sequence Models

Dataset Batch(offline) Reinforcement Learning for recommender system

Multiple implementations for abstractive text summurization , using google colab

MolSSI SARS-CoV-2 Biomolecular Simulation Data and Algorithm Store

A-reinforcement-learning-framework-for-text-summarization

<In Development> Transformers for Keras that support sklearn's .fit .predict .

https://cimcb.github.io/MetabWorkflowTutorial/

scripts and notes for learning

Compilation of R and Python programming codes