janfb
Researcher @aai-institute. Working on Bayesian Machine Learning and Simulation Based Inference
@aai-instituteMunich
Pinned Repositories
bccn_programming_project5
Replicating the results of Litwin-Kumar and Doiron, 2012.
clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
dbs_data_analysis
Some scripts for analyzing local field potential data recorded with deep brain stimulation electrodes in PD and dystonia patients.
delfi
Density estimation likelihood-free inference
mcabc
Model Comparison In Approximate Bayesian Computation
sbi-for-connectomics
Repository containing research code and results for the paper "Simulation-based inference for computational connectomics'
mnle-for-ddms
Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
sbibm
Simulation-based inference benchmark
pyknos
Conditional density estimation with neural networks
sbi
Simulation-based inference toolkit
janfb's Repositories
janfb/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
janfb/mcabc
Model Comparison In Approximate Bayesian Computation
janfb/bccn_programming_project5
Replicating the results of Litwin-Kumar and Doiron, 2012.
janfb/dbs_data_analysis
Some scripts for analyzing local field potential data recorded with deep brain stimulation electrodes in PD and dystonia patients.
janfb/delfi
Density estimation likelihood-free inference
janfb/gaussianprocessworkshop
A short tutorial on Gaussian Processes
janfb/gittricks
Git(Hub) tips and tricks playground
janfb/sbi-for-connectomics
Repository containing research code and results for the paper "Simulation-based inference for computational connectomics'
janfb/janfb.github.io
Forked from https://github.com/pmichaillat/hugo-website to build
janfb/mnle-for-ddms
Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
janfb/nflows
Normalizing flows in PyTorch
janfb/results
Results and code for reproducibility
janfb/rl_miniproject
TU Berlin MHBF course project: reinforcement learning in a T-maze
janfb/sbibm
Simulation-based inference benchmark