ndx-simulation-output
Simulation data extender
An extension for large-scale simulation data in neurophysiology research
NWB:N 2.0 extension for output data of large-scale simulations
4 stars
3 watching
3 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
ndxnwb-nsimulationsonata
asoplata/open-computational-neuroscience-resourcesRelated projects:
| Repository | Description | Stars |
|---|---|---|
 catalyst-team/neuro | A 3D brain segmentation pipeline using Python and the Catalyst framework. | 19 |
 alleninstitute/sonata | Enables efficient and scalable exchange of data between different neuronal network modeling approaches | 55 |
 neuromorphs/tonic | A tool to facilitate the download, manipulation and loading of event-based/spike-based data for neuromorphic systems. | 214 |
 nxrighthere/netdynamics | A data-oriented networking playground for stress testing and debugging UDP transports. | 106 |
 nengo/nengo | A Python library for building and simulating large-scale neural models | 834 |
 nrhinehart/precog_carla_dataset | Provides tools and datasets for simulating driving scenarios with deep imitation learning | 41 |
 davidepatti/noxim | A software tool for simulating and analyzing Network-on-Chip architectures in computer networks | 250 |
 neurotechx/eeg-expy | A collection of classic EEG experiments implemented in Python to democratize cognitive neuroscience research using affordable and scalable hardware | 453 |
 elixir-nx/axon | Provides a framework for building and training neural networks using Elixir and Nx. | 1,562 |
 nngen/nngen | Generates hardware-specific accelerator designs for neural networks | 340 |
 e2niee/simbench | A simulation benchmark dataset to support research in grid planning and operation | 107 |
 atomistic-machine-learning/schnetpack | A toolbox for training and applying deep neural networks to predict atomistic properties of molecules and materials | 795 |
 atmb4u/data-driven-code | Code examples for a data-driven approach to building neural networks in Python | 29 |
 mhlee0903/multi_channels_pinn | Investigating neural networks for drug discovery using multiple chemical descriptors. | 3 |
 bloodaxe/catalyst-inria-segmentation-example | An example project demonstrating the use of Catalyst for training segmentation models from Inria Satellite Segmentation Challenge data. | 45 |