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A curated list of resources about generative flow networks (GFlowNets).
Code for the Medical Deadend Paper at NeurIPS 2021
Public code for implementation and experiments with differentiable decision trees.
Learning representations for RL in Healthcare under a POMDP assumption
Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
Getting started with soccer analytics
A library of probabilistic model based RL algorithms in pytorch
Normalizing flows in PyTorch. Current intended use is education not production.
Decoupling Dynamics and Reward for Transfer Learning
Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Repo for Harvard Medical School: BMI704, Spring 2019
A highly efficient implementation of Gaussian Processes in PyTorch
Pomodoro® time management assistant for Chrome
Code for the paper Implicit Weight Uncertainty in Neural Networks
Code for Learning to select data for transfer learning with Bayesian Optimization
Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
This repository will contain the data, code, summaries and reports generated for our final project in completion of the Spring 2016 AM207 course-Stochastic Methods for Data Analysis, Inference and …
This repository is a store for all files, papers, code and anything else we need to complete a semester project for AM221-Advanced Optimization at Harvard University for Spring '16
Notes and code as we work through Gaussian Processes http://www.gaussianprocess.org/gpml/chapters/
This repository is for Fall '15 CS 205 Final Project where we try to parallelize robust methods of background subtraction to perform anomaly detection in surveillance video.
Repository for CS109 Final Project, in conjunction with virgodi and abhishekmalali