Sinz Lab (sinzlab)

Sinz Lab

sinzlab

Geek Repo

Location:Tübingen, Germany

Home Page:https://sinzlab.org

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Sinz Lab's repositories

sensorium

Code base for the SENSORIUM competition.

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jinja-compose

Docker compose extension with Jinja based templating support.

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neuralpredictors

Machine Learning Utils of Sinzlab

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nnfabrik

A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.

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pytorch-docker

Docker image for PyTorch based on nvidia/cuda images

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platypose

Official Implementation for "Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation"

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cGNF

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

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nndichromacy

Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM.

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mei

Visualize features cells are responsive to via gradient ascent.

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energy-guided-diffusion

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

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insilico-stimuli

A toolset for generating image stimuli for insilico experiments

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nnvision

Envisioning the biological visual system with deep neural networks.

propose

PRObabilistic POSE estimation framework

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nntransfer

Framework for transfer experiments. Builds on top of nnfabrik and neuralpredictors.

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phd-thesis-template-uni-tuebingen

PhD thesis template for Uni Tübingen

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HARD

Hard Augmentations for Robust Distillation

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nnsysident

System identification with Deep Neural Networks

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compenv

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

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cppn_for_invariances

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

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hlrn-access

Onboarding to NHR/HLRN cluster usage

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intro_to_ml

Machine Learning Session at Workshop "Bridging the Technological Gap"

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neural-sampling-neurips2023

Code for the paper Shrinivasan et al 2023, "Taking the Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system" published in NeurIPS 2023

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sensorium_internal

Code base for the SENSORIUM competition.

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tue-slurm

Utility for working with Uni Tübingen Slurm Cluster

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