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
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
YimianDai/open-atac
code and trained models for "Attention as Activation"
chanchanchan97/ICAFusion
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition
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
pprp/awesome-attention-mechanism-in-cv
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
MathAnimation1198/ManimTutorial
brianamedee/Manim-Tutorials-2021
quarfoot/Manim-Demos
Code for my classroom demos in Manim
Uasoni/manim-pendulums
chenw20/SGPA
Example code of Sparse Gaussian Process Attention (ICLR 2023)
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
mabhijithn/irregulars-neureka-codebase
Scripts, packages and info supporting the Neureka Challenge 2020 submission by the team Biomed Irregulars.
EEGdecoding/Code-SBLEST
Matlab code for SBLEST algorithm
kovalalvi/beira
BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data
HaojiongZhang/TUH-EEG-Dataset
Code for extracting meta data from TUH EGG corpuses and queries
UnitedHolmes/seizure_detection_EEGs_transformer_BHI_2023
Code for BHI 2023 Paper on EEG Seizure Detection
IBM/seizure-type-classification-tuh
seizure type classification using TUH dataset
jmtomczak/vae_kan_example
A simple example of VAEs with KANs
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
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
agramfort/22_main_ml_meeg_tuto
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.
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.
microsoft/PhysioPro
A deep learning framework for physiological data processing and understanding.
Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble
Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
NeuroTechX/EEG-ExPy
EEG Experiments in Python
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch