Pinned Repositories
bayesff
Bayesian Failure Forecasting with Stan
diffusionmaps
An application of diffusion mapping for single cell data
eisenzeitdigital
Descriptive analysis and predictive modeling based on a dataset about a few thousand iron age sites
fm_boosting
Test Implementation of Boosting Latent Diffusion with Flow Matching
geocomputation
An analysis of spatial data with various machine learning classifiers
geostatsBA
My Bachelor Thesis
podcasty
StyleGan
A pytorch implementation of Nvidias StyleGan for the class of Deep Unsupervised Learning at LMU Munich 2021
SynthRADdiffusion
Code for the SynthRAD challenge 2023
TimeGAN
A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)
benearnthof's Repositories
benearnthof/TimeGAN
A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)
benearnthof/fm_boosting
Test Implementation of Boosting Latent Diffusion with Flow Matching
benearnthof/SynthRADdiffusion
Code for the SynthRAD challenge 2023
benearnthof/podcasty
benearnthof/ScienceNOW
ScienceNOW: Topic Modelling with Tweets, Arxiv, Reddit & Mendeley
benearnthof/SynthGenDiffusion
Advancing Synthetic Image Generation with Conditioned Diffusion Models
benearnthof/algorithm-template
Template to prepare a docker image for https://synthrad2023.grand-challenge.org/
benearnthof/aoc2021
advent of code 2021
benearnthof/geostatsBA
My Bachelor Thesis
benearnthof/StyleGan
A pytorch implementation of Nvidias StyleGan for the class of Deep Unsupervised Learning at LMU Munich 2021
benearnthof/ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
benearnthof/benearnthof.github.io
benearnthof/brave
A PyTorch implementation of DeepMinds 2021 ICCV Paper Broaden Your Views for Self-Supervised Video Learning
benearnthof/CASIE
CyberAttack Sensing and Information Extraction
benearnthof/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
benearnthof/cosmo_consulting
Project for the Class in Statistical Consulting at LMU München 2022
benearnthof/DAFT
Pytorch implementation of DAFT
benearnthof/dinov2
Fork of DINOv2 with added attention map extraction functionality
benearnthof/EAGLE
[CVPR 2024 Highlight✨] Official Pytorch Code for EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
benearnthof/Gigantua
Gigantua: Single Threaded - 2 Billion Moves/s Chess position enumerator
benearnthof/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
benearnthof/LanguageApp
benearnthof/LinAlgJulia
Linear Algebra with Julia
benearnthof/MoDDPM
On the Mathematics of Denoising Diffusion Probabilistic Models
benearnthof/open_science_mnist
Code for the winter 2022/2023 seminar Open Science in Statistics & Machine Learning LMU Munich
benearnthof/PUIS2024
Production Ready Implementation of PUIS with Custom STEGO backbones.
benearnthof/rectified-flow-pytorch
Implementation of rectified flow and some of its followup research / improvements in Pytorch
benearnthof/self_compressing
Implementation of Self-Compressing Neural Networks in Pytorch https://arxiv.org/abs/2301.13142
benearnthof/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
benearnthof/tmp
a collection of random scripts