benearnthof's repositories
fm_boosting
Test Implementation of Boosting Latent Diffusion with Flow Matching
SynthRADdiffusion
Code for the SynthRAD challenge 2023
ScienceNOW
ScienceNOW: Topic Modelling with Tweets, Arxiv, Reddit & Mendeley
Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale
This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"
algorithm-template
Template to prepare a docker image for https://synthrad2023.grand-challenge.org/
aoc2021
advent of code 2021
bayesff
Bayesian Failure Forecasting with Stan
geostatsBA
My Bachelor Thesis
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.
brave
A PyTorch implementation of DeepMinds 2021 ICCV Paper Broaden Your Views for Self-Supervised Video Learning
cosmo_consulting
Project for the Class in Statistical Consulting at LMU München 2022
DAFT
Pytorch implementation of DAFT
Gigantua
Gigantua: Single Threaded - 2 Billion Moves/s Chess position enumerator
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
open_science_mnist
Code for the winter 2022/2023 seminar Open Science in Statistics & Machine Learning LMU Munich
OptimJl
Algorithms and Exercises from the Book: Algorithms for Optimization by Mykel J. Kochenderfer, Tim A. Wheeler
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
solvingchess
writing a bot for lichess that uses computervision to detect the boardstate and then uses alphazero to make the best move
SynthGenDiffusion
Advancing Synthetic Image Generation with Conditioned Diffusion Models
tumtemplate
tumlatextemplate