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

Feature Weighting and Regularization for Common Spatial Patterns in EEG-based Motor Imagery Brain-Computer Interfaces

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).

[CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

An open source implementation of CLIP.

[NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

This repository maintains resources related to machine and deep learning for Brain Research.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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

Code of paper FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition

Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"

深度学习经典、新论文逐段精读

2020智源-京东多模态对话（JDDC2020）第三名解决方案分享

Notebooks for "Python for Signal Processing" book

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

A curated list of awesome self-supervised methods

A Python module for time-frequency analysis

My blogs and code for machine learning. http://cnblogs.com/pinard

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and …

Disentangled Synthesis for Domain Adaptation

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

Semi-supervised Multi-view Variational Autoencoder (semiMVAE)

Python implementation of deep forest method : gcForest

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Python, Classification using SVM

A curated list of awesome resources related to capsule networks