605 Open source projects that are alternatives of or similar to lolo

Machine Learning algorithms coded from scratch

Online machine learning methods

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

I will update this repository to learn Machine learning with python with statistics content and materials

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

PHP-ML - Machine Learning library for PHP

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

Scala Library/REPL for Machine Learning Research

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

All Machine Learning Algorithms

🍊 📊 💡 Orange: Interactive data analysis

bitcoin prediction algorithms

A New, Interactive Approach to Learning Data Science

Machine Learning Concepts with Concepts

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

A PureScript, browser-based implementation of simple linear regression.

ugtm: a Python package for Generative Topographic Mapping

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Implementation of a Partial Least Squares Regressor

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.

A simple machine learning framework written in Swift 🤖

R package to interface with OpenML

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Misc Statistics and Machine Learning codes in R

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

Heart Disease prediction using 5 algorithms

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

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run a multitude of classifiers on you data and get an AUC report

【数据科学家系列课程】

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

Simple Genetic Programming for Symbolic Regression in Python3

library of numerical methods using Armadillo

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

A generalizable application framework for segmentation, regression, and classification using PyTorch

My main Machine Learning class

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

A chess library for PHP.

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

MATLAB code for Relevance Vector Machine using SB2_Release_200.

naive bayes in php

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Conformalized Quantile Regression

A Clojure machine learning library

A Jupyter notebook where I play with my Goodreads data

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

Building Decision Trees From Scratch In Python

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

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

Plant Disease Identification Using Convulutional Neural Network

2020华为软件精英挑战赛

Static Analyzer for Java Code with Machine Learning in Mind

Microeconometric estimation in Julia

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Python Basics, Machine Learning and Deep Learning