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adhoc

Codification used for the AAMAS-17 paper "Simultaneously Learning and Advising in Multiagent Reinforcement Learning"

autoregressive-convolutional-rnn

Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

awesome-functional-ml

This repo contains a collection of papers on ML for functional data.

bandits

Bayesian Bandits

bd-solutions

beast2_xml_parser

bigdata

commonsense-rl

Knowledge-Aware RL agents with Commonsense Reasoning

computational-statistics-project-1

First one day project for the computational statistics module.

computational-statistics-project-3

denoising-diffusion-flax

Implementing the Denoising Diffusion Probabilistic Model in Flax

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

dqn-example

Example implementation of dqn for lunar lander, solving some incompatibilities

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

functionaldeeplearning

MSc Thesis on Deep Learning methodology for functional data

ivy

The Unified Machine Learning Framework

machinelearning

Some small ML projects

minigrid

Simple and easily configurable grid world environments for reinforcement learning

multiagent-particle-envs

opponent

Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"

personalized-news-recommendation

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

portfolio

Portfolio with applied ML/AI projects

probabilistic-graphical-models-materials

rebayes

Recursive Bayesian Estimation (Sequential / Online Inference)

rebayes-mini

Minimalist version of probml/rebayes

rlhf-with-diversity

sac

Soft Actor-Critic for unsupervised RL

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.