benearnthof

benearnthof

Geek Repo

Company:LMU Munich

Location:Munich

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benearnthof's repositories

TimeGAN

A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)

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fm_boosting

Test Implementation of Boosting Latent Diffusion with Flow Matching

SynthRADdiffusion

Code for the SynthRAD challenge 2023

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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"

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algorithm-template

Template to prepare a docker image for https://synthrad2023.grand-challenge.org/

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aoc2021

advent of code 2021

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bayesff

Bayesian Failure Forecasting with Stan

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geostatsBA

My Bachelor Thesis

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StyleGan

A pytorch implementation of Nvidias StyleGan for the class of Deep Unsupervised Learning at LMU Munich 2021

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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.

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brave

A PyTorch implementation of DeepMinds 2021 ICCV Paper Broaden Your Views for Self-Supervised Video Learning

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CASIE

CyberAttack Sensing and Information Extraction

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cosmo_consulting

Project for the Class in Statistical Consulting at LMU München 2022

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DAFT

Pytorch implementation of DAFT

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dlwpt

Exercises from the book: Deep Learning with PyTorch

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FFFT

A fast failure forecast tool written in R.

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Gigantua

Gigantua: Single Threaded - 2 Billion Moves/s Chess position enumerator

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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

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open_science_mnist

Code for the winter 2022/2023 seminar Open Science in Statistics & Machine Learning LMU Munich

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OptimJl

Algorithms and Exercises from the Book: Algorithms for Optimization by Mykel J. Kochenderfer, Tim A. Wheeler

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PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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solvingchess

writing a bot for lichess that uses computervision to detect the boardstate and then uses alphazero to make the best move

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SynthGenDiffusion

Advancing Synthetic Image Generation with Conditioned Diffusion Models

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tmp

a collection of random scripts

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tumtemplate

tumlatextemplate

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