Kajiyu's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Tokyo-Metro-Gov/covid19
東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website
DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
cheind/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
nipreps/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Washington-University/HCPpipelines
Processing pipelines for the HCP
brainiak/brainiak
Brain Imaging Analysis Kit
quantumjot/btrack
Bayesian multi-object tracking
pynapple-org/pynapple
PYthon Neural Analysis Package :pineapple:
AdaptiveMotorControlLab/AmadeusGPT
We turn natural language descriptions of behaviors into machine-executable code
taketo1024/swm-core
Pure Math in Pure Swift.
allenai/cord19
Get started with CORD-19
kavli-ntnu/MINI2P_toolbox
The codes, software, models, protocols, and etc. for building and using MINI2P to do the freely-moving recording and analysis. More details can be found in the original paper "Large-scale two-photon calcium imaging in freely moving mice(2021)".
Conxz/multiBrain
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
ohbm/hackathon2019
Website and projects for the OHBM Hackathon in Rome 2019
oist/LaTeX-templates
Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal
sjgershm/mfit
Simple model-fitting tools
lionel-rigoux/tutorial-bayesian-inference
A collection of simple implementation of various inference methods
google-deepmind/dynamic-kanerva-machines
This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics for Generative Memory.
oist/optinist
calcium imaging pipeline tool
jeffalstott/pystan_time_series
Basic time series modeling with Stan and Pystan
ddarmon/transCSSR
A Python implementation of CSSR for epsilon-transducers.
ThomasAkam/photometry_preprocessing
Fiber photometry data preprocessing - denoising, photobleaching and motion correction.
tripdancer0916/pytorch-fixed-point-analysis
Implementation of fixed point analysis for Recurrent Neural Network.
kkatahira/cmbd-book
「行動データの計算論モデリング」のサポートページです。
LaubachLab/MedParse
Read MedPC data into python and matlab
SeanNobel/DeepLabCut_cuedFC
Analyze freezing rate and other behavioral aspects of animals, using data from DeepLabCut. Especially optimized for cued fear conditioning.
TommyBlanchard/StanNeuronModelling
A Bayesian model comparison of the tuning properties of a population of neurons, implemented in Stan
ThomasAkam/Two-step_ACC
Analysis code for Akam et al. Neuron 2021 - The anterior cingulate cortex predicts future states to mediate model-based action selection.