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Sinz Lab's Projects

bashiri-et-al-2021 icon bashiri-et-al-2021

Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

causal_neuroscience icon causal_neuroscience

Collection of introductory study material for people who are interested to answer causal questions in the field of neuroscience.

cgnf icon cgnf

This is the official code for calibration in multi-hypothesis human pose estimation

compenv icon compenv

This is a collection of tools aimed at improving the reproducibility of computed results.

cppn_for_invariances icon cppn_for_invariances

Official implementation of the paper "Learning Invariance Manifolds of Visual Sensory Neurons".

dbbak icon dbbak

MySQL database backup scripting

djdemo icon djdemo

A collection of notebooks demoing DataJoint features

essential-mathematics-script icon essential-mathematics-script

Lecture notes for essential mathematics for neuroscience lecture held at the Graduate School for Neural and Behavioural Sciences in Tübingen with Jakob Macke and Philipp Lies.

hard icon hard

Hard Augmentations for Robust Distillation

intro_to_ml icon intro_to_ml

Machine Learning Session at Workshop "Bridging the Technological Gap"

jinja-compose icon jinja-compose

Docker compose extension with Jinja based templating support.

lucent icon lucent

Lucid library adapted for PyTorch

lurz_2020_code icon lurz_2020_code

Code base for "Generalization in data-driven models of primary visual cortex", Lurz et al. 2020

mei icon mei

Visualize features cells are responsive to via gradient ascent.

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