Sinz Lab (@sinzlab)
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sinzlab

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Top repositories

1

sensorium

Code base for the SENSORIUM competition.
Jupyter Notebook
57
star
2

jinja-compose

Docker compose extension with Jinja based templating support.
Python
37
star
3

neuralpredictors

Machine Learning Utils of Sinzlab
Jupyter Notebook
26
star
4

nnfabrik

A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.
Jupyter Notebook
17
star
5

pytorch-docker

Docker image for PyTorch based on nvidia/cuda images
Python
15
star
6

neural_cotraining

The code for performing MTL on object recognition with neural data
Python
13
star
7

cGNF

This is the official code for calibration in multi-hypothesis human pose estimation
Jupyter Notebook
8
star
8

Lurz_2020_code

Code base for "Generalization in data-driven models of primary visual cortex", Lurz et al. 2020
Jupyter Notebook
8
star
9

platypose

Official Implementation for "Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation"
Jupyter Notebook
7
star
10

orbit_transfer

Python
6
star
11

nndichromacy

Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM.
Jupyter Notebook
6
star
12

mei

Visualize features cells are responsive to via gradient ascent.
Python
6
star
13

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".
Python
5
star
14

insilico-stimuli

A toolset for generating image stimuli for insilico experiments
Jupyter Notebook
4
star
15

propose

PRObabilistic POSE estimation framework
Jupyter Notebook
3
star
16

datajoint-cleaner

3
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17

Sinz2018_NIPS

Code for the NIPS 2018 paper: "Stimulus domain transfer in recurrent models for large scale cortical population prediction on video"
Python
3
star
18

nnvision

Envisioning the biological visual system with deep neural networks.
Python
3
star
19

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.
TeX
3
star
20

energy-guided-diffusion

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images
Jupyter Notebook
3
star
21

causal_neuroscience

Collection of introductory study material for people who are interested to answer causal questions in the field of neuroscience.
Jupyter Notebook
3
star
22

data-science-tutorials-ws21

Contents for the tutorials of the data science lecture, winter semester 2021/22
Jupyter Notebook
2
star
23

nntransfer

Framework for transfer experiments. Builds on top of nnfabrik and neuralpredictors.
Python
2
star
24

pytorch-singularity

Roff
2
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25

phd-thesis-template-uni-tuebingen

PhD thesis template for Uni Tübingen
TeX
2
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26

hlrn-slurm

Python
2
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27

lurz_bashiri_iclr2023

Jupyter Notebook
1
star
28

HARD

Hard Augmentations for Robust Distillation
1
star
29

datajoint-link

Python
1
star
30

tljh-db

Python
1
star
31

nnsysident

System identification with Deep Neural Networks
Jupyter Notebook
1
star
32

datajoint-webinar

Jupyter Notebook
1
star