Patrik Reizinger's Projects
Object tracking with OpenCV based on stereo camera images
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
Code for "Causal autoregressive flows" - AISTATS, 2021
Resources for learning Category Theory for an enthusiast
Curiosity-driven Exploration by Self-supervised Prediction
Software projects for embedded systems
Example deep learning projects that use wandb's features.
Expense tracking website
Automatically exported from code.google.com/p/geomag
Independent mechanisms in Gaussian Process Latent Variable Models (GPLVMs)
High-level library to help with training neural networks in PyTorch
Independent Innovation Analysis (IIA)
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).
VAEs and nonlinear ICA: a unifying framework
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.
Investigating the non-identifiability of Transformers
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
Independent Component Analysis in Linear Time-Invariant Systems
A simple and efficient Mamba implementation in PyTorch and MLX.
Basic EM-field simulation of a memristor with FEM
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).
This repo contains tutorials on OpenCV-Python library using new cv2 interface
A well-documented A2C written in PyTorch
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
An implementation of WaveNet using PyTorch & PyTorch Lightning