Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python

A handbook for EEG data analysis based on Python

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

PyGCL: A PyTorch Library for Graph Contrastive Learning

A manifold optimization library for deep learning

Riemannian Geometry workshop at vBCI Meeting 2021

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Covariance toolbox for matlab, including riemannian geometry

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Everything about Transfer Learning and Domain Adaptation--迁移学习

FSGAN - Official PyTorch Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Adaptive riemannian geometry toolbox

Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).

A list of all public EEG-datasets

A list of all public EEG-datasets

《深度学习》花书手推笔记

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

EEG Features to be extract from raw data.

Predict seizures from EEGs using two models of spiking neural networks

Code for Continual Learning of Context-dependent Processing in Neural Networks

PyTorch implementations of deep reinforcement learning algorithms and environments

MATLAB function for modeling Pavlovian behavioral paradigms using the one-step temporal difference reinforcement learning algorithm

A toolkit for developing and comparing reinforcement learning algorithms.

Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification.验证后对于融合矩阵存在问题