cnjackhu

cnjackhu's Stars

• manjunath5496/Combinatorics-Books

  "Mathematics is the surest way to immortality. If you make a big discovery in mathematics, you will be remembered after everyone else will be forgotten." ― Paul Erdős

  188

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13k1.4k

• YimianDai/open-atac

  code and trained models for "Attention as Activation"

  Language:Python194

• chanchanchan97/ICAFusion

  ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

  Language:Python1027

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5k457

• pprp/awesome-attention-mechanism-in-cv

  Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

  Language:Python1k160

• MenghaoGuo/Awesome-Vision-Attentions

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

  Language:Python2.7k407

• MathAnimation1198/ManimTutorial

  Language:Python158

• brianamedee/Manim-Tutorials-2021

  Language:Python9237

• quarfoot/Manim-Demos

  Code for my classroom demos in Manim

  Language:Python62

• Uasoni/manim-pendulums

  Language:Python42

• chenw20/SGPA

  Example code of Sparse Gaussian Process Attention (ICLR 2023)

  Language:Python153

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.3k1.3k

• mabhijithn/irregulars-neureka-codebase

  Scripts, packages and info supporting the Neureka Challenge 2020 submission by the team Biomed Irregulars.

  Language:Python1212

• EEGdecoding/Code-SBLEST

  Matlab code for SBLEST algorithm

  Language:Python3112

• kovalalvi/beira

  BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data

  Language:Jupyter Notebook24

• HaojiongZhang/TUH-EEG-Dataset

  Code for extracting meta data from TUH EGG corpuses and queries

  Language:Python11

• UnitedHolmes/seizure_detection_EEGs_transformer_BHI_2023

  Code for BHI 2023 Paper on EEG Seizure Detection

  Language:Python101

• IBM/seizure-type-classification-tuh

  seizure type classification using TUH dataset

  Language:Python6026

• jmtomczak/vae_kan_example

  A simple example of VAEs with KANs

  Language:Jupyter Notebook121

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook984164

• High-East/Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification

  Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper

  Language:Python36

• agramfort/22_main_ml_meeg_tuto

  Language:Jupyter Notebook63

• neerajwagh/evaluating-eeg-representations

  Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

  15

• arnav-pati/iclr2023-meta-learning-eeg-mi-classification

  Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 2023). Our meta-learning approach is compared to transfer learning in terms of accuracy after few-shot fine-tuning on new subjects for EEG-based motor imagery classification.

  Language:Jupyter Notebook10

• microsoft/PhysioPro

  A deep learning framework for physiological data processing and understanding.

  Language:Python6611

• Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble

  Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

  Language:Jupyter Notebook559

• NeuroTechX/EEG-ExPy

  EEG Experiments in Python

  Language:Python427124

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.3k562

• automl/Auto-PyTorch

  Automatic architecture search and hyperparameter optimization for PyTorch

  Language:Python2.3k283