NO (REOSTA9)

REOSTA9

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Company:Dokuz Eylül University

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NO's repositories

GeneticAlgorithmsWithPython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

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Hands-On-Genetic-Algorithms-with-Python

Hands-On Genetic Algorithms with Python, Published by Packt

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Artificial-Intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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Artificial-Intelligence-By-Example-Second-Edition

Artificial Intelligence By Example Second Edition, published by Packt

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books

Source code for 100+ books, kept here for quick reference

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Breast__Cancer

Makale için

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coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

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Courses-Notes

List of courses related to Mathematics, Statistics, Probability, Optimization and Machine Learning.

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easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

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EvolutionaryComputation_2019.1

Repositório para as atividades individuais da Cadeira Computação Evolutiva 2019

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EvolutionaryNN

Using genetic Algorithm to decide best possible architecture of a Neural Network

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Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

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Hands-on-Neuroevolution-with-Python

Hands-on Neuroevolution with Python, Published by Packt

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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machine-learning

Some Jupyter Notebook with basic introdutory content

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matplotlib

matplotlib: plotting with Python

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MIT_OCW_Linear_Algebra_18_06

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

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ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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Most-used-ML-Packages

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

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neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

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Phonocardiogram_Processing

:heart: :mag: Project exploring Deep Learning neural network architectures and algorithms for the processing of heart signals. Develop by Kevin Machado, Biomedical Engineer and Nicolas Escobar.

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PSOkeras

Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternative to backpropagation.

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python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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tabular-data-projects

Collection of ML scripts for tabular datasets

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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