swasun

swasun's Stars

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k127798811

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k43881.1k

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python6k883.1k1.1k

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.8k383217

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2.1k1260211

• facebookincubator/submitit

  Python 3.8+ toolbox for submitting jobs to Slurm

  Language:Python1.3k24121125

• asteroid-team/torch-audiomentations

  Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

  Language:Python9731210689

• xwying/torchshow

  Visualize PyTorch tensors with a single line of code.

  Language:Python64861310

• yu4u/convnet-drawer

  Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

  Language:Python596161598

• jcvasquezc/DisVoice

  feature extraction from speech signals

  Language:Jupyter Notebook357132980

• wnhsu/FactorizedHierarchicalVAE

  This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

  Language:Python1537827

• mne-tools/mne-bids-pipeline

  Automatically process entire electrophysiological datasets using MNE-Python.

  Language:Python1421433068

• mne-tools/mne-bids

  MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

  Language:Python1361953590

• Donders-Institute/bidscoin

  BIDScoin converts your source-level neuroimaging data to BIDS

  Language:Python132319335

• cvnlab/GLMsingle

  A toolbox for accurate single-trial estimates in fMRI time-series data

  Language:MATLAB10257545

• timsainb/AVGN

  A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

  Language:Jupyter Notebook697721

• koulakis/h-nne

  A fast hierarchical dimensionality reduction algorithm.

  Language:Jupyter Notebook634177

• wmvanvliet/mne-rsa

  Representational Similarity Analysis on MEG and EEG data

  Language:Python5851411

• CMRR-C2P/MB

  Support for CMRR multi-band pulse sequences

  Language:Python573337319

• mschrimpf/neural-nlp

  [PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

  Language:Jupyter Notebook527316

• wnhsu/SpeechVAE

  This repository contains the code to reproduce the core results from the paper "Learning Latent Representations for Speech Generation and Transformation".

  Language:Python52678

• mne-tools/mne-qt-browser

  A new backend for the 2D data browser in MNE-Python

  Language:Python4379722

• multi-learn/summit

  Language:HTML30019

• tsumers/bert-brains

  Language:Jupyter Notebook27434

• mickaelChen/GMV

  An implementation using pytorch of the models presented in the Multi-View Data Generation Without View Supervision paper.

  Language:Python13311

• KamitaniLab/BHscore

  Language:Jupyter Notebook12611

• marathomas/tutorial_repo

  Tutorial for generating and evaluating latent-space representations of vocalizations using UMAP

  Language:Jupyter Notebook11433

• gretatuckute/Brainmation

  Code for creating animations (GIFs) in Python based on neural time series data.

  Language:Python7200

• walkerlab/FENS-2022

  Repository for FENS 2022 Summer School

  Language:Jupyter Notebook2102

• jacob-prince/GLMsingle_paper

  Code for plotting GLMsingle manuscript figures

  Language:Jupyter Notebook1101