ziyulu-uw

ziyulu-uw's Stars

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.5k262

• networkslab/MTST

  Language:Python131

• sdorkenw/MICrONS_workshop

  Language:Jupyter Notebook21

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python2k439

• a-antoniades/Neuroformer

  Language:Python313

• shlizee/C-elegans-Neural-Interactome

  Realtime simulation and visualization of neural dynamics of a full nervous system (C. elegans).

  Language:JavaScript338

• MouseLand/stringer-pachitariu-et-al-2018a

  Recordings of 10k neurons during spontaneous behaviors

  Language:MATLAB4915

• lowks/gdprox

  proximal gradient descent algorithm in Python

  Language:Python41

• ethanfetaya/NRI

  Neural relational inference for interacting systems - pytorch

  Language:Python738157

• cgraber/cvpr_dNRI

  Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020

  Language:Python6018

• loeweX/AmortizedCausalDiscovery

  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

  Language:Python19841

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.3k1.1k

• lyprince/lfads_demo

  Pytorch implementation of LFADS for demo at CAN workshop

  Language:Jupyter Notebook1910

• bantin/jPCA

  jPCA for Neural Data Analysis in Python

  Language:Python4416

• MouseLand/facemap

  Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.

  Language:Python15460

• dynamicslab/ctf-dl-tutorial

  CTF workshop deep learning tutorial and hackathon

  Language:Jupyter Notebook125

• latimerk/pyNeuroGMLM

  Python GMLMs for dimensionality reduction in neural data.

  Language:Cuda2

• zhd96/pi-vae

  Poisson Identifiable VAE (pi-VAE)

  Language:Python496

• PyDMD/PyDMD

  Python Dynamic Mode Decomposition

  Language:Python866301

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.5k911

• timkimd/plnde

  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"

  Language:Julia91

• sinzlab/bashiri-et-al-2021

  Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

  Language:Python56

• zashwood/ssm

  Bayesian learning and inference for state space models

  Language:Jupyter Notebook1020

• ahwillia/tensortools

  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA

  3212

• ikinsella/locaNMF

  Pytorch implementation of LocaNMF

  Language:Python334

• musall/ridgeModel

  Language:MATLAB313

• latimerk/GMLM_dmc

  Generalized multilinear modeling for dimensionality reduction of neural data during behavioral tasks.

  Language:MATLAB31

• kunert/DMD_RSN

  Scripts to accompany the manuscript "Extracting Reproducible Time-Resolved Resting State Networks using Dynamic Mode Decomposition"

  Language:Jupyter Notebook74

• duqbo/optdmd

  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)

  Language:Matlab179

• dsashid/BOP-DMD

  Language:MATLAB22