altundal19

altundal19's Stars

• uci-ml-repo/ucimlrepo

  Python package for dataset imports from UCI ML Repository

  Language:Jupyter Notebook257512102

• OATML-Markslab/EVE

  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

  Language:Python1621035

• tuengominh/deap-eeg-classification

  EEG-based emotion classification using DEAP dataset

  Language:Jupyter Notebook1254428

• macarthur-lab/clinvar

  This repo provides tools to convert ClinVar data into a tab-delimited flat file, and also provides that resulting tab-delimited flat file.

  Language:Python122424255

• ding-lab/CharGer

  Characterization of Germline variants

  Language:Python98193737

• AndersonJo/dqn-pytorch

  Deep Q Learning via Pytorch

  Language:Jupyter Notebook866421

• gzoumpourlis/DEAP_MNE_preprocessing

  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction

  Language:Python64325

• Mozartuss/DEAP-Emotion-Recognition

  Emotion Recogniton LSTM RNN Arousal Valence

  Language:Python42308

• mlapenna7/yh_symbol_universe

  Retrieves all the symbols available on Yahoo Finance

  Language:Python36228

• Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify

  Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。

  Language:Jupyter Notebook34106

• a-xavier/tapes

  TAPES : a Tool for Assessment and Prioritisation in Exome Studies

  Language:Python2531911

• billerickson/Display-Posts-Pagination

  Allow results of Display Posts to be paginated

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• diskin-lab-chop/AutoGVP

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• zhouhufeng/FAVORannotator

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• GiovannaNicora/MLVar

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• nebojsa55/Empirical-Mode-Decomposition

  Example of Empirical Mode Decomposition algorithm

  Language:Jupyter Notebook12122

• riggraz/valence-arousal-classification-from-eeg

  Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets

  Language:Python11201

• zhonghua-wang/autocnv

  Language:Jupyter Notebook11137

• IPVS-AS/pusion

  Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.

  Language:Python10401

• bihealth/reev

  REEV: Explanation and Evaluation of Variants

  Language:TypeScript952742

• jmccarrell/n100tickers

  API for a current and a limited historical view of the member companies of the NASDAQ 100

  Language:Python9372

• AbdullahSh20/ITU-COURSEWORK

  My coursework files for the classes that I took at Istanbul Technical University over the semesters

  Language:C++81

• bihealth/auto-acmg

  Automatic classification of sequence variants and CNVs according to ACMG criteria.

  Language:Python871080

• shark-in-a-coma/4D-CRNN

  Language:Python8003

• pstawinski/pygenebe

  PyGeneBe: A Python client seamlessly integrating with the GeneBe platform, offering efficient annotation of genetic variants through its API, while supporting pandas, VCF file formats, and HGVS parsing

  Language:Python6340

• Di40/EEG-Emotion-Classification

  Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.

  Language:Python5101

• miltoncandela/neurohumanities-lab

  Code and data for "Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities" (Frontiers in Human Neuroscience, 2024)

  Language:Jupyter Notebook3100

• tripathy12345/WOSGfilteringIEEETIM

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• klncEmre/learning-from-data

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• myfang2021/VIPPID

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