Bruno Kacper Mlodozeniec's repositories
deep-pilco-torch
Deep PILCO PyTorch Implementation
brunokm.github.io
My personal website:
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.
cam_zip
Code for a high-level experiment investigating the implementation of compression algorithms.
cbl-twitter-paper-post
Template for posts about CBL papers
cbl-website
CBL website
hack-east-court
Hack Cambridge 4D submission
D-TRAK
Influence Functions in Diffusion Generative Models
ddpm-torch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
deep-ensembles-classification
Reimplementation of the classification experiments from "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
DIVA
Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
KDEpy
Kernel Density Estimation in Python
kruegerlab.github.io
Lab Website (in progress)
Laplace
Laplace approximations for Deep Learning.
probabilistic-ranking
4F13 Probabilistic Ranking Coursework
station-b-libraries
Python and F# libraries developed for biological computation as part of the Station-B project.
tensor-reprogram
Reproducing Tensor Programs V: Zero Shot Hyperparameter Transfer
variational-continual-learning
Implementation of the variational continual learning method
world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch