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ml_course

Material for the Technion's course in machine learning (046195)

ml_from_scratch

Implementation of basic ML algorithms from scratch in python...

ml_pipeline_from_scratch

Building machine learning pipelines with procedural programming, custom-pipeline or third-party code using the titanic data set from Kaggle

mlops-specialization

Machine Learning Engineering for Production (MLOps) Coursera Specialization

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

mlssvr

Multi-output Least-Squares Support Vector Regressor

mml-book

Code / solutions for Mathematics for Machine Learning (MML Book)

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mnist-live-detection-tflite

MNIST Live Detection using OpenCV, Tensorflow Lite and AutoKeras

modeling_lung_cancer_risk

models

Models and examples built with TensorFlow

mtlssvm

Multi-Task Least-Squares Support Vector Machines

multi_agent_path_planning

This repository consists of the Python implementation of a few multi-robot path-planning algorithms.

multiclassclassificationperformancescores

Calculation of performance metrics from confusion matrix table for multi-class classification

multiple-linear-regression

multivariate-statistics

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

muse-lsl

Python script to stream EEG data from the muse 2016 headset

mv3d

Multi-View 3D Object Detection Network for Autonomous Driving

mvcnn

Multi-view CNN (MVCNN) for shape recognition

my_practice_notebooks

mywork

My Data Science Projects Repository

naivebayesspamfilter

Creating a spam filter from scratch

nba_game_predictor

Machine Learning Predictor for NBA games that takes into account player stats, team stats.

netsim

Tools for analyzing Markov models using statistical physics and graph theory

neural-logic-machines

Implementation for the Neural Logic Machines (NLM).

neural-netowork-extended-kalman-filter

neural-network-from-scratch

neural-network-toolbox

This toolbox contains 6 types of neural networks, which is simple and easy to implement.

neural-networks-py

Core neural networks framework supporting to build multilayer perceptron

neuralnetworkscratch

Creating neural network from scratch without using any deep learning libraries.