- Bonn, Germany
Stars
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
The official python wrapper for the pylon Camera Software Suite
NMA deep learning course
interactive analysis of calcium imaging data from larval zebrafish
original FaceMap code which writes a binary file of movie before processing (good for compressed movies, otherwise slow).
carsen-stringer / suite2p
Forked from MouseLand/suite2pcell detection in calcium imaging recordings
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
NMA Computational Neuroscience course
A technical report on convolution arithmetic in the context of deep learning
Please go to https://github.com/CRBS/cdeep3m2 for most recent version
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
volumetric reconstruction of 3D cellular-resolution imaging data
Flood-Filling Networks for instance segmentation in 3d volumes.
Data backend for fast proofreading of cell segmentations in connectomics datasets
A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.
Simple and flexible progress bar for Jupyter Notebook and console
PyTorch implementations of Generative Adversarial Networks.
A Deep Learning based project for colorizing and restoring old images (and video!)
Cython bindings for fpzip, a floating point image compression algorithm.
seung-lab / compressedseg
Forked from janelia-flyem/compressedsegcompressed_segmentation for Neuroglancer volumes. This is the PyPI package fork.
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
Read and write Neuroglancer datasets programmatically.