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2022-machine-learning-specialization

enda吴

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-bci

Curated Collection of BCI resources

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

bravl

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

cnn-training-testing-templates-for-processing-eeg-signals

A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, visualization of results (loss, acc, obfuscation, PR, RE)

devillover123.github.io

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dynmm

Code for the paper 'Dynamic Multimodal Fusion'

eeg-datasets

A list of all public EEG-datasets

fbmsnet

This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.

fnirsnet-base

CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

min2net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

telme-base