toncho11 / ML_examplesLinks
A list of examples for Machine Learning: Transformers, Large Language Models, Keras for Deep Learning, Transfer Learning with PyTorch for Image Classification, EEG Classification, Decision Trees, Statistical Hypothesis Testing, ABTesting any many more.
☆18Updated 6 months ago
Alternatives and similar repositories for ML_examples
Users that are interested in ML_examples are comparing it to the libraries listed below
Sorting:
- Matlab code for SBLEST algorithm☆44Updated last year
- ☆66Updated 2 years ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆45Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆64Updated 7 months ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 3 years ago
- PyTorch implementation of EEGDfus☆15Updated last year
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆73Updated 7 months ago
- ☆28Updated 3 months ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated last year
- Deep Learning with EEG.☆21Updated 10 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- Public EEG-based motor imagery (MI) datasets☆10Updated last year
- An open source tool for large-scale EEG datasets processing☆49Updated 2 weeks ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆62Updated last year
- ☆42Updated 7 months ago
- Offical repository of the paper "EEG-DG:A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆25Updated 5 months ago
- BrainFusion is an open-source Python platform for analyzing multimodal physiological signals (EEG, EMG, ECG, fNIRS). It offers preprocess…☆28Updated 3 months ago
- CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research☆22Updated 2 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆57Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 2 years ago
- ☆13Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago