1223 Open source projects that are alternatives of or similar to MachineLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

经典机器学习算法的极简实现

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Plain python implementations of basic machine learning algorithms

No description or website provided.

Python Clustering Algorithms

A simple machine learning framework written in Swift 🤖

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

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Aircraft engine failure prediction model

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Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

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Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

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[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

model-describer : Making machine learning interpretable to humans

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General Assembly's 2015 Data Science course in Washington, DC

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

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🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

an tutorial implement of voice conversion using pytorch

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

Efficient similarity search and clustering for Ruby

The simplest Perceptron you'll ever see

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Core functionality for the Autonomio augmented intelligence workbench.

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

For extensive instructor led learning

sources for daal4py - a convenient Python API to oneDAL

An Interactive Approach to Understanding Deep Learning with Keras

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🍊 📊 💡 Orange: Interactive data analysis

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Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

This VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.

machine learning algorithms in Swift

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

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Animated Visualizations of Popular Machine Learning Algorithms