Learning2021

Learning2021's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，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chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.7k2771.6k8.1k

• jindongwang/transferlearning

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

  Language:Python13.5k3393393.8k

• xmu-xiaoma666/External-Attention-pytorch

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

  Language:Python11.5k104821.9k

• adams549659584/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。

  Language:HTML8.8k5437813.4k

• TrickyGo/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

  Language:Jupyter Notebook3.8k10457820

• MenghaoGuo/Awesome-Vision-Attentions

  Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

  Language:Python2.8k3210413

• artix41/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  1.7k949301

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python892937205

• wzy6642/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PyTorch实现并整理为PDF版本供下载

  Language:Jupyter Notebook55175171

• torcheeg/torcheeg

  TorchEEG is a library built on PyTorch for EEG signal analysis.

  Language:Python38466453

• 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:C3831086180

• Luodian/MADAN

  Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

  Language:Python1708727

• xxlya/BrainGNN_Pytorch

  A preliminary implementation of BrainGNN

  Language:Python14421334

• ziyujia/SST-EmotionNet

  SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition

  Language:Python1193125

• rshaojimmy/MADDoG

  [CVPR 2019] Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

  Language:Python8331514

• VoiceBeer/MS-MDA

  Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

  Language:Jupyter Notebook8341215

• Gorilla-Lab-SCUT/MultiClassDA

  TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"

  Language:Python745214

• drwuHUST/TLBCI

  Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

  Language:MATLAB681427

• jonmun/MM-SADA-code

  Repository to contain the code for the CVPR 2020 publication: Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

  Language:Python591920

• ziyujia/Emotion-Recognition-Papers

  A list of papers for emotion recognition using machine learning/deep learning.

  54208

• daiquocnguyen/QGNN

  Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

  Language:Python47328

• copenlu/xformer-multi-source-domain-adaptation

  Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)

  Language:Python413110

• gcunhase/Emotional-Video-to-Audio-with-ANFIS-DeepRNN

  Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

  Language:MATLAB25406

• ipsorakis/mRVMs

  Code for paper: Multiclass Relevance Vector Machines - Sparsity and Accuracy

  Language:Matlab226016

• rasoulghaznavi/MLSEED

  Emotion Recognition using ML methods on the SEED dataset

  Language:Jupyter Notebook191175

• LivNLP/multi-source-attention

  Multi-Source Domain Attention

  Language:Python13415

• hestonst/HappyEEG

  An real-time EEG emotive-state classifier trained on DEAP dataset using ML Engine and Cloud Storage provided by Google Cloud Platform

  Language:Jupyter Notebook8202

• paidamoyo/DEAP_classification

  Classify EEG Signals

  Language:Python7502

• kofeinaa/emotion-recognition

  Emotion recognition models based on DEAP data

  Language:Python5101

• lteb2002/Nystrom_net

  Language:Python1102