526 Open source projects that are alternatives of or similar to OLSTEC

Template codes and examples for Python machine learning concepts

Modeltime unlocks time series forecast models and machine learning in one framework

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

No description or website provided.

Launch machine learning models into production using flask, docker etc.

Imputation method for scRNA-seq based on low-rank approximation

cuML - RAPIDS Machine Learning Library

No description or website provided.

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

No description or website provided.

A script in python to organize your images by similarity.

The SimNets Architecture's Implementation in Caffe

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

Owl's OCaml Interface to Eigen3 C++ Library

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Plant Disease Identification Using Convulutional Neural Network

Stochastic Delta Rule implemented in Pytorch on DenseNet

Gisola: A High Performance Computing application for real-time Moment Tensor inversion

No description or website provided.

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A high performance implementation of HDBSCAN clustering.

A Python Package for Density Ratio Estimation

StellarGraph - Machine Learning on Graphs

Python Basics, Machine Learning and Deep Learning

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

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

PHP K-Means

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

📊 Naive Bayes classifier for JavaScript

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

The repository provides usefull python scripts for ML and data analysis

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

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Matlab implementation of multi-view low-rank sparse subspace clustering

sources for daal4py - a convenient Python API to oneDAL

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

An extensive machine learning library, made from scratch (Python).

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

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.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

🍃 Using a Neural Network to improve web accessibility in JavaScript.

A simply budget app that predicts where the expenses are being made

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A repo with tutorials for algorithms from scratch

Machine Learning notebooks for refreshing concepts.

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

A PureScript, browser-based implementation of LDA topic modeling.

Heart Disease prediction using 5 algorithms

My main Machine Learning class

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.