Discover rpatrik96/ima-vae Open Source project

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Created almost 3 years ago
Updated 7 months ago

rpatrik96

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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).

pytorch-a2c

A well-documented A2C written in PyTorch

Python

AttA2C

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

Jupyter Notebook

3d-tracking

Object tracking with OpenCV based on stereo camera images

Python

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).

Python

pytorch-lightning-wavenet

An implementation of WaveNet using PyTorch & PyTorch Lightning

Python

memristor-fem

Basic EM-field simulation of a memristor with FEM

MATLAB

lod-wmm-2019

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

Python

vae-sam

VAEs and SAM

Python

lti-ica

Independent Component Analysis in Linear Time-Invariant Systems

Python

llm-non-identifiability

Investigating the non-identifiability of Transformers

Python

embedded-software

Software projects for embedded systems

rpatrik96/ima-vae

rpatrik96

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