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a-simple-metaheuristic-based-anfis

a-simple-metaheuristic-based-functional-link-anfis

algorithm_maths_python

General math scripts and important algorithms' implementation in Python 3

columnlegend

Creates a legend with a specified number of columns

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-and-machine-learning-from-scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

datasets

deep-belief-network-sklearn

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepschool.io

Deep Learning tutorials in jupyter notebooks.

dtl-ids-an-optimized-intrusion-detection-framework-using-dtl-and-ga

This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion detection framework.

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

graph-neural-networks

Graph Neural Networks

gscn

A new greedy stochastic configuration network, termed GSCN, with fast convergence rates for ill-posed problems.

hands-on-data-preprocessing-in-python

Hands-On Data Preprocessing in Python, published by Packt

hands-on-machine-learning

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

intrusion-detection-system-using-cnn-and-transfer-learning

Code for intrusion detection system (IDS) development using CNN models and transfer learning

machine-learning

This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.

machine-learning-algorithms-from-scratch

Implementing machine learning algorithms from scratch.

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine-learning-with-python-1

Python code for common Machine Learning Algorithms

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

ml-2020-autoencoder-by-forest

ml-from-scratch

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