Steffen Schneider's repositories
deeplabcut-docker
Inofficial docker images for DeepLabCut (experimental)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
scikit-kinematics
Python functions for working with 3D kinematics.
assembled-cnn
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
awesome-action-recognition
A curated list of action recognition and related area resources
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
CaImAn
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
CCC
Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
CLIP
Contrastive Language-Image Pretraining
datajoint-python
Relational data pipelines for the science lab
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals
DeepLabCut-core
Headless DeepLabCut (no GUI support)
DeepLabCut-live
SDK for running DeepLabCut on a live video stream
dino-1
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Efficient-PyTorch
My best practice of training large dataset using PyTorch.
gdown
Download a large file from Google Drive (curl/wget fails because of the security notice).
nbsphinx
:ledger: Sphinx source parser for Jupyter notebooks
NX-414
Coding course materials for Brain-like computation and intelligence
pi-vae
Poisson Identifiable VAE (pi-VAE)
robustness
Corruption and Perturbation Robustness (ICLR 2019)
uda_release
Unsupervised Domain Adaptation through Self-Supervision
webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.