alberto-jj

alberto-jj's Stars

• keras-team/autokeras

  AutoML library for deep learning

  Language:Python9.1k3029011.4k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.1k61657641

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k3014523

• braindecode/braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Language:Python78017271175

• AutoViML/Auto_TS

  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

  Language:Jupyter Notebook7261888113

• NeuroTechX/EEG-ExPy

  EEG Experiments in Python

  Language:Python43423107124

• BBillot/SynthSeg

  Contrast-agnostic segmentation of MRI scans

  Language:Python36598194

• kaushalshetty/FeatureSelectionGA

  Feature Selection using Genetic Algorithm (DEAP Framework)

  Language:Python3619995

• danielhomola/mifs

  Parallelized Mutual Information based Feature Selection module.

  Language:Python2881530110

• ap-atul/Audio-Denoising

  Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique

  Language:Python1575418

• eeyhsong/NICE-EEG

  [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

  Language:Python8531115

• rmarkello/snfpy

  Similarity network fusion in Python

  Language:Python742819

• netneurolab/pypyls

  A Python implementation of Partial Least Squares (PLS) decomposition

  Language:Python5983029

• eeg-augmentation-benchmark/eeg-augmentation-benchmark-2022

  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).

  Language:Python38413

• Roche/neuro-green

  This project contains the code for a deep learning architecture to analyze EEG data.

  Language:Python35711

• swarnakumar/xicorpy

  Python implementation of Chatterjee's Rank Correlation, its modifications, and other offshoots

  Language:Python21152

• Roche/neuro-meeglet

  Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.

  Language:Jupyter Notebook20513

• apple/ml-famae

  Language:Python19700

• toncho11/ML_examples

  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.

  Language:Jupyter Notebook16202

• ipis-mjkim/caueeg-dataset

  CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research

  13121

• rmarkello/pyls

  A Python implementation of Partial Least Squares (PLS) decomposition

  Language:Python12307

• mackelab/neuralgbi

  Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference

  Language:Jupyter Notebook8220

• palvalab/discovering_rhythmicity

  Language:Jupyter Notebook83

• Imaging-AI-for-Health-virtual-lab/harmonizer

  Language:Python41

• achamma723/Group_Variable_Importance

  Language:Jupyter Notebook32

• Parietal-INRIA/hidimstat

  HiDimStat: High-dimensional statistical inference tool for Python

  Language:Python2163

• carlosmig/EEG-Dementias

  Language:Python1

• LeonardoJost/TimeAnalysis

  Language:R1

• M1NDB0TS/EEGif

  GIF animations from EEG files

  Language:Jupyter Notebook10

• shamilnabiyev/automl-time-series

  Time Series Classification experiments on open-source datasets using Automated Machine Learning (AutoML) frameworks

  Language:Jupyter Notebook1200