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Python 2 2 Updated May 24, 2021

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Jupyter Notebook 4,683 813 Updated Jun 15, 2026

Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)

Python 16 6 Updated Sep 16, 2024

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Jupyter Notebook 298 2 Updated Jul 6, 2023
Python 40 10 Updated Oct 26, 2019

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Python 24,966 2,248 Updated Apr 1, 2026

Cookiecutter template for a Python package.

Python 4,584 1,795 Updated May 19, 2026

What you need to process the Quarterly DepMap-Omics releases from Terra

HTML 125 25 Updated May 21, 2026

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Python 1,245 158 Updated Oct 1, 2024

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

Python 160 52 Updated Jun 17, 2021

Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models

Python 22 1 Updated Sep 23, 2019

A quickstart and benchmark for pytorch distributed training.

Python 1,658 293 Updated Jul 25, 2024

MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction

Jupyter Notebook 54 26 Updated Sep 22, 2020

Synergy prediction and the drug atlas

4 Updated Apr 11, 2020

A game search and evaluation parameter tuner using optuna framework

Python 14 3 Updated Jun 20, 2026

A hyperparameter optimization framework

Python 14,379 1,344 Updated Jun 19, 2026

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

Python 104 30 Updated Jun 26, 2023

A Configurable Recommender Systems Simulation Platform

Python 787 135 Updated Jan 3, 2022

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed …

Jupyter Notebook 121 59 Updated Dec 22, 2019

Deep reinforcement learning for recommendation system

Python 186 53 Updated Jul 1, 2019

Reinforced Recommendation toolkit built around pytorch 1.7

Python 588 112 Updated Dec 8, 2020

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Python 657 92 Updated Apr 5, 2021

Author's PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

Python 2 Updated Oct 22, 2020

Code for the paper "Phasic Policy Gradient"

Python 267 59 Updated Apr 2, 2023
Jupyter Notebook 48 8 Updated Sep 23, 2020

CADRE: Contextual Attention-based Drug REsponse

Python 12 5 Updated Nov 23, 2020

Matrix Factorization based Movie Recommender System for group of users.

Jupyter Notebook 14 8 Updated May 4, 2017

Virtual-Taobao simulators with OpenAI Gym interface

Python 533 97 Updated Nov 18, 2019

An elegant PyTorch deep reinforcement learning library.

Python 10,808 1,320 Updated Apr 3, 2026
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