rpatrik96

pytorch-a2c

A well-documented A2C written in PyTorch

AttA2C

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

ima-vae

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

3d-tracking

Object tracking with OpenCV based on stereo camera images

nl-causal-representations

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

pytorch-lightning-wavenet

An implementation of WaveNet using PyTorch & PyTorch Lightning

kindle-clippings

A Python-script to extract and organise highlights and notes from the "My Clippings.txt" file on a Kindle e-reader and convert it to Markdown for Obsidian.

lod-wmm-2019

Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019

memristor-fem

Basic EM-field simulation of a memristor with FEM

vae-sam

VAEs and SAM

embedded-software

Software projects for embedded systems

lti-ica

Independent Component Analysis in Linear Time-Invariant Systems

thesis-template-latex

Thesis template for LaTeX documents.

gp-ima

Independent mechanisms in Gaussian Process Latent Variable Models (GPLVMs)

adcs-simulation

carefl

Code for "Causal autoregressive flows" - AISTATS, 2021

category-theory-resources

Resources for learning Category Theory for an enthusiast

cluster-tools

curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

custom-dsprites

examples

Example deep learning projects that use wandb's features.

ignite

High-level library to help with training neural networks in PyTorch

IIA

Independent Innovation Analysis (IIA)

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

rpatrik96

rpatrik96.github.io

A personal website for Patrik Reizinger. Template is courtesy of academicpages.

slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

state-space-models

State space models with scipy

tue-slurm-helloworld

Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container

wandb-cicd