MorphIO
Neuronal data loader
A C++ library for reading and writing neuronal morphology data in various file formats.
A python and C++ library for reading and writing neuronal morphologies
27 stars
15 watching
24 forks
Language: C++
last commit: 5 months ago gliamitochondriamorphologyneuronneuronspythonreticulum
Related projects:
| Repository | Description | Stars |
|---|---|---|
| bluebrain/brion | A C++ library for reading and writing Blue Brain data structures. | 23 |
| bluebrain/brayns | A platform for large-scale scientific visualization of neurons using ray-tracing and interactive rendering. | 291 |
 neuromorphs/tonic | A tool to facilitate the download, manipulation and loading of event-based/spike-based data for neuromorphic systems. | 214 |
 brainglobe/brainrender | A Python package to visualize neuroanatomical data in 3D | 553 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
| brainglobe/brainglobe-atlasapi | A Python interface to access neuroanatomical atlases from multiple sources. | 128 |
| bluebrain/bluepyopt | A flexible framework for optimizing model parameters in computational neuroscience and related fields. | 204 |
 bamos/densenet.pytorch | An implementation of a deep neural network architecture in PyTorch | 833 |
| brainglobe/brainreg | Automated 3D brain registration software for aligning template brains to sample images. | 124 |
 blackrockneurotech/npmk | A MATLAB-based toolkit for loading and processing data from Blackrock Microsystems' neuroscientific files. | 46 |
 natverse/nat | An R package for visualizing and analyzing 3D biological image data | 64 |
 mosdeo/lkydeepnn | A header-only C++ library for training and deploying deep neural networks on embedded systems | 49 |
 mrdimosthenis/synapses | A collection of libraries for building and training neural networks in various programming languages | 70 |
 franck-dernoncourt/neuroner | Named-entity recognition using neural networks. | 1,701 |
 nilearn/nilearn | A comprehensive toolkit for analyzing brain imaging data using machine learning and statistical techniques. | 1,214 |