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.
laminr
Learning and Aligning Manifolds using Implicit Neural Representations
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
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/datajoint-link
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/laminr
Learning and Aligning Manifolds using Implicit Neural Representations
sinzlab/phd-thesis-template-uni-tuebingen
PhD thesis template for Uni Tübingen
sinzlab/pytorch-singularity
sinzlab/HARD
Hard Augmentations for Robust Distillation
sinzlab/hlrn-slurm
sinzlab/lurz_bashiri_iclr2023
sinzlab/nnidentify
Neural System Identification with Deep Neural Networks
sinzlab/nnsysident
System identification with Deep Neural Networks
sinzlab/noise_correlation_vit
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/sensorium_internal
Code base for the SENSORIUM competition.
sinzlab/tue-slurm
Utility for working with Uni Tübingen Slurm Cluster