Pinned Repositories
239Chrono
adversarial-feature-augmentation
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
AMIGOS-Emotion-Classification
Broad-Learning-System
BLS Code
Domain-generalization
All about domain generalization
Emotion-Recognition-Papers
A list of papers for emotion recognition using machine learning/deep learning.
GraphSleepNet
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
MI_plot
SST-EmotionNet
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
Learning2021's Repositories
Learning2021/Emotion-Recognition-Papers
A list of papers for emotion recognition using machine learning/deep learning.
Learning2021/SST-EmotionNet
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
Learning2021/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Learning2021/benchmarking-gnns
Repository for benchmarking graph neural networks
Learning2021/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Learning2021/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
Learning2021/Deep-BCI
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Learning2021/Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了整理
Learning2021/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Learning2021/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Learning2021/eeg-gcnn
Code to reproduce results reported in the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Learning2021/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Learning2021/go-proxy-bingai
用 Vue3 和 Go 搭建的微软 New Bing 演示站点，拥有一致的 UI 体验，支持 ChatGPT 提示词，国内可用。
Learning2021/gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等
Learning2021/GraphGallery
GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.
Learning2021/IJCAI19_CMML
Learning2021/MADAN
Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"
Learning2021/MM-SADA-code
Repository to contain the code for the CVPR 2020 publication: Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Learning2021/MS-MDA
Code of paper MS-MDAER: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
Learning2021/multi-source-attention
Multi-Source Domain Attention
Learning2021/MultiClassDA
TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"
Learning2021/Nystrom_net
Learning2021/pytorch-siamese
Siamese Network implementation using Pytorch
Learning2021/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Learning2021/QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Learning2021/Siamese-pytorch
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
Learning2021/TLBCI
Matlab source code of the paper "D. Wu, R. Peng, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2020, submitted."
Learning2021/torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
Learning2021/Transfer-Learning-Toolkit
Transfer Learning Toolkit for Primary Researchers
Learning2021/xformer-multi-source-domain-adaptation
Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)