AFurryBear's Stars
aalavandhaann/Py_BL_MeshSkeletonization
Mesh Skeleton Extraction Using Laplacian Contraction
vmtk/vmtk
the Vascular Modeling Toolkit
seung-lab/igneous
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
madvn/CTRNN
Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
MeshInspector/MeshLib
Mesh processing library
seung-lab/kimimaro
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
AperiodicMethods/AperiodicMethods
Evaluating methods for estimating aperiodic activity in electrophysiological data.
lukepolson/youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.
openlists/DSPResources
A list of open resources for learning and working with digital signal processing.
lisc-tools/lisc
Literature Scanner: Automated collection & analyses of the scientific literature.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
MonsieurV/py-findpeaks
Overview of the peaks dectection algorithms available in Python
ramintoosi/ROSS
Robust Offline Spike Sorter
open-ephys/plugin-GUI
Software for processing, recording, and visualizing multichannel electrophysiology data
MouseLand/Kilosort
Fast spike sorting with drift correction for up to a thousand channels
Julie-Fabre/awesome_neuropixels
A curated list of awesome Neuropixels resources.
billkarsh/SpikeGLX-CPP-SDK
SpikeGLX remote scripting API [C++]
hongw-lab/Behavior_Annotator
meet-minimalist/Texture-Synthesis-Using-Convolutional-Neural-Networks
Tensorflow implementation of paper - "Texture Synthesis Using Convolutional Neural Networks"
ivust/random-texture-synthesis
Code for the ICLR 2017 paper "What does it take to generate natural textures?"
aVariengien/VEATGen
A Variational Autoencoder for Texture Generation
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
simonzhang00/ripser-plusplus
Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
agosztolai/MARBLE
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
berenslab/eff-ph
Persistent homology for high-dimensional data based on spectral methods
DrugowitschLab/BayesianRingAttractor
This repo contains the code for simulations and figures in Anna Kutschireiter, Melanie A Basnak, Rachel Wilson & Jan Drugowitsch. 2023. Bayesian inference in ring attractor networks. PNAS. https://doi.org/10.1073/pnas.2210622120
prince-ahmed/ring-attractor-model
Model to demonstrate how a locally connected neural network represents the flight direction in Drosophila melanogaster's Ellipsoid Body.
XuelongSun/RingAttractorCueIntegration
Using Touretzky ring attractor network to do cue integration
holtzy/The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python