325 Open source projects that are alternatives of or similar to machine-learning

Machine Learning Course @ Santa Clara University

100-Days-Of-ML-Code中文版

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Complete-Life-Cycle-of-a-Data-Science-Project

Implementing machine learning algorithms from scratch.

PHP-ML - Machine Learning library for PHP

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Vectorized Machine Learning in Python 🐍 From Scratch

Learning to Cluster. A deep clustering strategy.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

VIP cheatsheets for Stanford's CS 229 Machine Learning

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

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

A library of extension and helper modules for Python's data analysis and machine learning libraries.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

[ICCV2021] Learning to Track Objects from Unlabeled Videos

Unofficial TensorFlow implementation of "AlexNet" architecture.

ML algorithm for real-time classification

Awesome Graph Self-Supervised Learning

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

Image2Image Translation Research

Using supervised machine learning to build collective variables for accelerated sampling

Dual CNN Models for Unsupervised Monocular Depth Estimation

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

TensorFlow implementation for "Guided Optical Flow Learning"

Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

DBSCAN Clustering Algorithm C# Implementation

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

An Interactive Approach to Understanding Supervised Learning Algorithms

pyMCR: Multivariate Curve Resolution for Python

Linguistica 5: Unsupervised Learning of Linguistic Structure

Awesome-Cross-Domain-Person-Re-identification

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Convolutional AutoEncoder application on MRI images

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Implementing Clustering Algorithms from scratch in MATLAB and Python

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Classification of Breast Cancer diagnosis Using Support Vector Machines

Parametric Contrastive Learning (ICCV2021)

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

DDC-Outlier: Preventing medication errors using unsupervised learning

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017