https://github.com/sinzlab/sensorium

Code base for the SENSORIUM competition.

benchmark neural-prediction neural-system-identification visual-cortex

Last synced: 18 Jan 2026

https://github.com/sinzlab/jinja-compose

Docker compose extension with Jinja based templating support.

Last synced: 14 Jan 2026

https://github.com/sinzlab/neuralpredictors

Machine Learning Utils of Sinzlab

Last synced: 18 Jan 2026

https://github.com/sinzlab/nnfabrik

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

Last synced: 18 Jan 2026

https://github.com/sinzlab/neural_cotraining

The code for performing MTL on object recognition with neural data

Last synced: 18 Jan 2026

https://github.com/sinzlab/nndichromacy

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

deep-learning neuroscience

Last synced: 18 Jan 2026

https://github.com/sinzlab/laminr

Learning and Aligning Manifolds using Implicit Neural Representations

Last synced: 18 Jan 2026

https://github.com/sinzlab/datajoint-link

clean-architecture database datajoint domain-driven-design

Last synced: 18 Jan 2026

https://github.com/sinzlab/nnvision

Envisioning the biological visual system with deep neural networks.

Last synced: 18 Jan 2026

https://github.com/sinzlab/hlrn-slurm

Last synced: 17 Jan 2026

https://github.com/sinzlab/intro_to_ml

Machine Learning Session at Workshop "Bridging the Technological Gap"

Last synced: 18 Jan 2026

https://github.com/sinzlab/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

Last synced: 17 Jan 2026