lzling104

lzling104's Stars

• mbzuai-oryx/groundingLMM

  [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

  Language:Python74837

• fpv-iplab/MECCANO

  The MECCANO Dataset: official repository in which we provide code and models.

  Language:Python322

• epic-kitchens/epic-kitchens-100-annotations

  :plate_with_cutlery: Annotations for the public release of the EPIC-KITCHENS-100 dataset

  Language:Python12828

• epic-kitchens/epic-kitchens-slowfast

  Language:Python2715

• epic-kitchens/epic-kitchens-download-scripts

  Download scripts for EPIC-KITCHENS

  Language:Python12226

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.2k1.2k

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.5k1.2k

• aliasvishnu/EEGNet

  [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

  Language:Jupyter Notebook28066

• Yuchong-Geng/Motor-Imagery-Analysis-LSTM-CNN

  Here is a code to analyse right/left hand MI tasks using LSTM and 1D CNN.

  Language:Jupyter Notebook61

• shariharan205/Motor-Imagery-Tasks-Classification-using-EEG-data

  Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

  Language:Jupyter Notebook7823

• berdakh/eeg-pytorch

  EEG motor-imagery data analysis using MNE and Pytorch

  Language:Jupyter Notebook305

• prashanth-prakash/EEG-ANALYSIS-FOR-MOTOR-IMAGERY-APPLICATION

  Language:Jupyter Notebook4210

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python925221

• kylemath/DeepEEG

  Deep Learning with Tensor Flow for EEG MNE Epoch Objects

  Language:Jupyter Notebook26558

• braindecode/braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Language:Python782175

• dmochow/rca

  MATLAB toolbox for performing "Reliable Components Analysis".

  Language:Matlab1614

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k722

• ambitious-octopus/MI-EEG-1D-CNN

  A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

  Language:Python15418

• DeepBCI/Deep-BCI

  An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

  Language:C379179

• agct2019/agct

  A Geometric Clustering Tool (AGCT)

  Language:Java41

• sstober/deepthought

  a library for decoding brain activity using deep learning

  Language:Jupyter Notebook4526

• JD-Zhu/EEG_analysis_scripts

  Frequency analysis for resting-state EEG data.

  Language:MATLAB53

• sccn/eeglab

  EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

  Language:MATLAB593241

• alexandrebarachant/covariancetoolbox

  Covariance toolbox for matlab, including riemannian geometry

  Language:Matlab11251

• jesus-333/FBCSP-Python

  Python implemementation of the FBCSP algorithm

  Language:Python326

• pyRiemann/pyRiemann

  Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

  Language:Python625164

• vlawhern/arl-eegmodels

  This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  Language:Python1.2k286

• rootskar/EEGMotorImagery

  EEG motor imagery classification using convolutional neural networks

  Language:Python339

• SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow

  EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

  Language:Python19846

• mne-tools/mne-python

  MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  Language:Python2.7k1.3k