Projects
- neurec — no summary
- neureca — A framework for building conversational recommender systems
- neurencoding — Neural encoding models made easy. Describe neuronal activity as a function of other variables
- neuri — Python client library for the Neuri API
- neurips-cellseg-gc — no summary
- neurite — Neural Networks Toolbox for Medical Imaging
- neurlink — a compact neuron network model definition grammar
- neuro — Python client for using npu api
- neuro-admin-client — Internal client for Neu.ro admin service
- neuro-airflow-plugin — Neu.ro Airflow plugin
- neuro-all — Combo package for installing all neu.ro command line tools by 'pipx install neuro-all' command
- neuro-auth-client — Internal client for Neu.ro auth service
- neuro-bump-version — Bump version for Neu.ro projects
- neuro-cli — Neuro Platform client
- neuro-config-client — Internal client for Neu.ro config service
- neuro-connector-api — Pushes data to https://${env}.myneuro.ai
- neuro-extras — no summary
- neuro-flow — Pipelines system for neu.ro
- Neuro-fuzzy-EVAMortus — Fuzzy output module
- neuro-helper — A simple package dealing with some analysis in my PhD thesis
- neuro-logging — Logging client for Neu.ro platform services
- neuro-maintenance-checker — Internal service for checking for Neu.ro maintenance mode
- neuro-mei — A framework used to generate most exciting images (MEIs)
- neuro-mf — iNeuron Model Factory helps us to generate model training and grid search code automatically based
- neuro-notifications-client — Notifications client for Neu.ro platform services
- neuro-sdk — Neu.ro SDK
- neuro-tools — Neuroimaging tools to help with BIDS, XNAT, workflows, etc.
- neuro3d — Blender toolkit for visualizing neurons and simulation data
- neuroai — no summary
- NeuroAnalysisTools — Data analysis tools for systems neuroscience
- neuroarch — A graph-based platform for representing Drosophila brain architectures
- neurobank — Simple data management system for neuroscience
- NeuroBCL — NeuroBCL (Neuro Bucket Classifier) is percentile based numeric feature normalizer that works to convert target bucket of numeric feature to its approximate bounds (Given multi-level features)
- neurobeam — Neuroscience Experiments Using Real-time Optogenetics, Behavior, and Microscopy
- neurobench — Collaborative, Fair, and Representative Benchmarks for Neuromorphic Computing
- neuroboom — A suite of python tools for visualisation and analysis of Connectomic data
- neurobooth — Neurobooth library for landmark detection of face features, face mesh, pose, etc.
- neuroboros — Neuroimaging analysis in Python
- neurocache — Neurocache: A library for augmenting language models with external memory.
- neurocaps — Co-activation patterns Python package
- neurocat — Interface Design for Neurocat's Research Engineer Test
- neurocode — 🧠EEG/MEG self-supervised learning toolbox.
- neurocombat-sklearn — Harmonizing neuroimaging data across sites. Implementation of neurocombat using sklearn format
- NeuroConn — A BIDS toolbox for connectivity & gradient analyses.
- neuroconv — Convert data from proprietary formats to NWB format.
- neurocorgi-sdk — NeuroCorgi-SDK to use the NeuroCorgi model in object detection, instance segmentation and image classification apps.
- neurocurator — Application to perform curation of neuroscientific literature.
- neurodamus — A BBP Simulation Control application for NEURON
- neurodatagen — Neuroscience data generation
- neurodatapub — NeuroDataPub: Tool built for publication of BIDS datasets of the NCCR-Synapsy
- neurodec — A Python package that provides access to all of the neurodec software tools.
- neurodecode — Real-time brain signal decoding framework
- neurodeploy — neurodeploy sdk
- neurodiffeq — A light-weight & flexible library for solving differential equations using neural networks based on PyTorch.
- neurodocker — A generic generator of Dockerfiles and Singularity recipes
- neurodriver — LPU class with support for various neuron and synapse models
- neurodsp — Digital signal processing for neural time series.
- neurodynex — Python exercises accompanying the book Neuronal Dynamics by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski.
- neurodynex3 — Python exercises accompanying the book Neuronal Dynamics by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski.
- neuroencoder — A package for processing temporal neural data, including spike trains, LFP, and EEG
- neuroevo — Training neural networks with evolutionary and particle swarm algorithms
- neuroevobench — Neuroevolution Benchmark
- neurofeatures — Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)
- neuroflow-yalab — no summary
- neuroflows — neuroflows is a Python package
- neurogenome — A universal API for create artificial neural networks with a genetic code.
- neuroglancer — Python data backend for neuroglancer, a WebGL-based viewer for volumetric data
- neuroglancer-scripts — Conversion of images to the Neuroglancer pre-computed format
- neuroglia — scikit-learn compatible transformers for neural data science
- NeuroGraph — no summary
- neurohab — Voxelwise brain habituation
- neuroHarmonize — Harmonization tools for multi-center neuroimaging studies.
- Neuroharmony — A tool to perform Freesurfer volume Harminization in unseen scanner.
- neurohive-devops-tools — Neurohive devops tools
- neurohub — neurohub is a Python package
- neuroimager — A collection of utilities used for MRI data analysis
- NeuroInsight — A custom neural network library for educational purposes
- neuroio — A Python package for interacting with NeuroIO API
- neurokernel — An open architecture for Drosophila brain emulation
- neurokime — Python library of kime analysis of neural data
- neurokit — A Python Toolbox for Statistics and Signal Processing (EEG, EDA, ECG, EMG...).
- neurokit2 — The Python Toolbox for Neurophysiological Signal Processing.
- neurokit2cw — The Python Toolbox for Neurophysiological Signal Processing. Versão editada CardioWEB
- neurol — no summary
- neurolang — "NeuroLang: Probabilistic Logic Programming for NeuroScience Research"
- neurolib — no summary
- neurolib-ru — Library for creating neural networks
- neurolink — NeuroLink is a Python package in active development that aims to provide various AI capabilities, including a chatbot, image processing, audio processing, Django & Flask support, and more.
- NeuroLocoMiddleware — A package to manage Dephy actuators and various sensors from a raspberry pi
- neurolucidaxml2ex — Python client for generating Ex format model descriptions from Neurolucida XML.
- neurom — NeuroM: a light-weight neuron morphology analysis package
- neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
- neuromaps — A toolbox for projecting, resampling, and comparing brain maps
- neuromation — Neuro Platform API client
- neuromeka — Neuromeka client protocols for Indy, IndyEye, Moby, Ecat, and Motor
- neuromeka-clients — Neuromeka client protocols for Indy, IndyEye, Moby, Ecat, and Motor
- neuromeka-clients3 — Neuromeka client protocols for Indy, IndyEye, Moby, Ecat, and Motor
- neurometa — Package for generating metadata related to neuroscience
- neuromllite — A common JSON/YAML based format for compact network specification, closely tied to NeuroML v2
- neurommsig-epilepsy — Mechanistic pathway knowledge on Epilepsy encoded in Biological Expression Language