Agamemnon Krasoulis (agamemnonc)

agamemnonc

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Company:Intelligencia

Location:Athens, Greece

Home Page:www.agamemnonkrasoulis.com

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intellsensing

Agamemnon Krasoulis's repositories

pyEMG

Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].

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IRP_material

IRP material for Learning from Data groups 2 & 3 (2014-2015)

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Kaggle-TFI-Restaurant-Revenue-Prediction

MATLAB solution for Restaurant Revenue Prediction challenge

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myo-python

Python bindings for the Myo SDK

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sklearn-ext

Machine learning extensions using scikit-learn API

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two_sensor

Accompanying code to reproduce the results of the paper "Multi-grip classification-based prosthesis control with two sensors".

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musmus

Muscle-controlled music

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cereLink

Blackrock Microsystems Cerebus Link for Neural Signal Processing

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dear-github-2.0

📨 An open letter to GitHub from the maintainers of open source projects

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DeepPurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

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interpretable-ml-book

Book about interpretable machine learning

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jupydiff-test

Checking out the jupydiff github action

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keras-aae

Implementation of Adversarial Autoencoder in Keras

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mlops-tutorial

MLOps tutorial

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mlpractical

Machine Learning Practical (INFR11119)

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pingouin

Statistical package in Python based on Pandas

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PyMesh

Geometry Processing Library for Python

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pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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reviewnb-test

Checking out ReviewNB functionality

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scikit-learn

scikit-learn: machine learning in Python

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seaborn

Statistical data visualization using matplotlib

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statannot

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

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Surprise

A Python scikit for building and analyzing recommender systems

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