Pinned Repositories
cGNF
This is the official code for calibration in multi-hypothesis human pose estimation
jinja-compose
Docker compose extension with Jinja based templating support.
Lurz_2020_code
Code base for "Generalization in data-driven models of primary visual cortex", Lurz et al. 2020
neural_cotraining
The code for performing MTL on object recognition with neural data
neuralpredictors
Machine Learning Utils of Sinzlab
nndichromacy
Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM.
nnfabrik
A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.
platypose
Official Implementation for "Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation"
pytorch-docker
Docker image for PyTorch based on nvidia/cuda images
sensorium
Code base for the SENSORIUM competition.
Sinz Lab's Repositories
sinzlab/sensorium
Code base for the SENSORIUM competition.
sinzlab/jinja-compose
Docker compose extension with Jinja based templating support.
sinzlab/neuralpredictors
Machine Learning Utils of Sinzlab
sinzlab/nnfabrik
A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.
sinzlab/pytorch-docker
Docker image for PyTorch based on nvidia/cuda images
sinzlab/platypose
Official Implementation for "Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation"
sinzlab/cGNF
This is the official code for calibration in multi-hypothesis human pose estimation
sinzlab/nndichromacy
Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM.
sinzlab/energy-guided-diffusion
🥚 EnerGy Guided Diffusion for optimizing neurally exciting images
sinzlab/mei
Visualize features cells are responsive to via gradient ascent.
sinzlab/insilico-stimuli
A toolset for generating image stimuli for insilico experiments
sinzlab/nnvision
Envisioning the biological visual system with deep neural networks.
sinzlab/propose
PRObabilistic POSE estimation framework
sinzlab/datajoint-link
sinzlab/hlrn-slurm
sinzlab/nntransfer
Framework for transfer experiments. Builds on top of nnfabrik and neuralpredictors.
sinzlab/phd-thesis-template-uni-tuebingen
PhD thesis template for Uni Tübingen
sinzlab/pytorch-singularity
sinzlab/HARD
Hard Augmentations for Robust Distillation
sinzlab/lurz_bashiri_iclr2023
sinzlab/nnsysident
System identification with Deep Neural Networks
sinzlab/cppn_for_invariances
Official implementation of the paper "Learning Invariance Manifolds of Visual Sensory Neurons".
sinzlab/datascience_git_demo
sinzlab/dsplotter
sinzlab/hlrn-access
Onboarding to NHR/HLRN cluster usage
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
sinzlab/nnidentify
Neural System Identification with Deep Neural Networks
sinzlab/noise_correlation_vit
sinzlab/sensorium_internal
Code base for the SENSORIUM competition.
sinzlab/tue-slurm
Utility for working with Uni Tübingen Slurm Cluster