Pinned Repositories
bayesian_logistic_regression
brunokm.github.io
My personal website:
cam_zip
Code for a high-level experiment investigating the implementation of compression algorithms.
causality-demo
cbl-twitter-paper-post
Template for posts about CBL papers
cbl-website
CBL website
deep-pilco-torch
Deep PILCO PyTorch Implementation
magenta
Magenta: Music and Art Generation with Machine Intelligence
model_based_rl_benchmark
Reproduction of various dynamic reinforcement learning methods.
rhoana_graph_tools
Graph tools for motif discovery and statistical analysis of the neural network dataset created as part of the rhoana project.
BrunoKM's Repositories
BrunoKM/deep-pilco-torch
Deep PILCO PyTorch Implementation
BrunoKM/bayesian_logistic_regression
BrunoKM/brunokm.github.io
My personal website:
BrunoKM/magenta
Magenta: Music and Art Generation with Machine Intelligence
BrunoKM/model_based_rl_benchmark
Reproduction of various dynamic reinforcement learning methods.
BrunoKM/cam_zip
Code for a high-level experiment investigating the implementation of compression algorithms.
BrunoKM/causality-demo
BrunoKM/cbl-twitter-paper-post
Template for posts about CBL papers
BrunoKM/cbl-website
CBL website
BrunoKM/ct-simulation
BrunoKM/hack-east-court
Hack Cambridge 4D submission
BrunoKM/curvlinops
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
BrunoKM/D-TRAK
Influence Functions in Diffusion Generative Models
BrunoKM/ddpm-torch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
BrunoKM/deep-ensembles-classification
Reimplementation of the classification experiments from "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
BrunoKM/DIVA
Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
BrunoKM/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
BrunoKM/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
BrunoKM/handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
BrunoKM/KDEpy
Kernel Density Estimation in Python
BrunoKM/kruegerlab.github.io
Lab Website (in progress)
BrunoKM/Laplace
Laplace approximations for Deep Learning.
BrunoKM/LieGAN
BrunoKM/mup-check
A tool for evaluating the correctness of a muP initialization implementation from Tensor Programs V.
BrunoKM/probabilistic-ranking
4F13 Probabilistic Ranking Coursework
BrunoKM/rebuttal-supplementary
BrunoKM/station-b-libraries
Python and F# libraries developed for biological computation as part of the Station-B project.
BrunoKM/tensor-reprogram
Reproducing Tensor Programs V: Zero Shot Hyperparameter Transfer
BrunoKM/variational-continual-learning
Implementation of the variational continual learning method
BrunoKM/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch