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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

artificial-intelligence-by-example-second-edition

Artificial Intelligence By Example Second Edition, published by Packt

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

books

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

breast__cancer

Makale için

building-machine-learning-systems-with-python-second-edition

Building Machine Learning Systems with Python by Packt Publishing

coursera-deep-learning

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

courses-notes

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

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

evocluster

evolutionarycomputation_2019.1

Repositório para as atividades individuais da Cadeira Computação Evolutiva 2019

evolutionarynn

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

feature-selection

Compare Different Feature Selection Methods

genetic_deep_learning

geneticalgorithmswithpython

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

hands-on-deep-learning-algorithms-with-python

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

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

hands-on-neuroevolution-with-python

Hands-on Neuroevolution with Python, Published by Packt

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.

machine-learning

Some Jupyter Notebook with basic introdutory content

machine_learning

matplotlib

matplotlib: plotting with Python

mit_ocw_linear_algebra_18_06

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

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.

mlbook_source

Machine Learning: An Algorithmic Perspective - Python sources that came with the book

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

neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

neural-networks-and-deep-learning

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

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.

psokeras

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