rpatrik96 Goto Github PK

3d-tracking

Object tracking with OpenCV based on stereo camera images

adcs-simulation

atta2c

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

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

embedded-software

Software projects for embedded systems

examples

Example deep learning projects that use wandb's features.

expensetracker

Expense tracking website

fusion

geomag

Automatically exported from code.google.com/p/geomag

gp-ima

Independent mechanisms in Gaussian Process Latent Variable Models (GPLVMs)

ignite

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

iia

Independent Innovation Analysis (IIA)

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).

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

lti-ica

Independent Component Analysis in Linear Time-Invariant Systems

memristor-fem

Basic EM-field simulation of a memristor with FEM

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).

opencv2-python-tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

pytorch-a2c

A well-documented A2C written in PyTorch

pytorch-lightning

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

pytorch-lightning-wavenet

An implementation of WaveNet using PyTorch & PyTorch Lightning

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