sabinechen

sabinechen's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• jobbole/awesome-programming-books

  经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  14.7k858413.5k

• changgyhub/leetcode_101

  LeetCode 101：力扣刷题指南

  8.8k147901.2k

• keenwon/antcolony

  Nodejs实现的一个磁力链接爬虫 https://findit.keenwon.com (原域名http://findit.so )

  Language:JavaScript1.4k6930420

• 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:Python1.2k4142299

• NeuroTechX/awesome-bci

  Curated Collection of BCI resources

  1.2k11710247

• braindecode/braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Language:Python84419278183

• shaoanlu/fewshot-face-translation-GAN

  Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

  Language:Jupyter Notebook7932431130

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python7512261149

• NeuroTechX/moabb

  Mother of All BCI Benchmarks

  Language:Python71731288183

• pyRiemann/pyRiemann

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

  Language:Python65131106162

• tushushu/imylu

  Pure Python implementation of machine learning algorithms

  Language:Python442179255

• eegsynth/eegsynth

  Converting real-time EEG into sounds, music and visual effects

  Language:Python3512424363

• 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 Notebook29110767

• anujdutt9/Handwritten-Digit-Recognition-using-Deep-Learning

  Handwritten Digit Recognition using Machine Learning and Deep Learning

  Language:Python2292310129

• fmu2/PyTorch-MAML

  A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

  Language:Python19641434

• alexandrebarachant/bci-challenge-ner-2015

  Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

  Language:Python18919575

• krishk97/ECE-C247-EEG-GAN

  GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

  Language:Jupyter Notebook1554843

• Xunius/Menotexport

  Python solution to export annotations from your Mendeley library.

  Language:Python123112920

• alexandrebarachant/covariancetoolbox

  Covariance toolbox for matlab, including riemannian geometry

  Language:Matlab11715351

• adavoudi/spdnet

  Implementation of Deep SPDNet in pytorch

  Language:Python5921611

• zhiwu-huang/SPDNet

  GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.

  Language:MATLAB502011

• plcrodrigues/RPA

  Python code for the Riemannian Procrustes Analysis (RPA) method

  Language:Jupyter Notebook472319

• tiehangd/MUPS-EEG

  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

  Language:Python404415

• cbhanu/BCI_EEGNet

  EEGNet implementation of 2 BCI competition datasets

  Language:Jupyter Notebook33204

• sabinechen/SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning

  SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning

  Language:Python18115

• plcrodrigues/means-field-classifier

  Repository for the paper "The Riemannian Minimum Distance to Means Field Classifier"

  Language:Python5201

• sylar-hj/mechineLearning-1

  机器学习算法python实现

  Language:Python4203