unsupervised-machine-learning
There are 1315 repositories under unsupervised-machine-learning topic.
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
opencog/opencog
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
theainerd/MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
CVLAB-Unibo/Real-time-self-adaptive-deep-stereo
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
jiaxiaogang/HE
螺旋熵减系统
seanwood/gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
luofuli/DualRL
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
sharmapratik88/AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
adobe/stringlifier
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
jiaxiaogang/HELIX_THEORY
螺旋熵减理论
genular/pandora
PANDORA :computer:
bupt-ai-cz/HHCL-ReID
Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
soypat/mu8
Genetic algorithm for unsupervised machine learning in Go.
naver/tldr
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
nla-group/classix
Fast and explainable clustering in Python
krishnakafle/gee-tutorials
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
Hassaan-Elahi/Writing-Styles-Classification-Using-Stylometric-Analysis
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
LaxmiChaudhary/Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
Ashleshk/Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science
Repository For Codes And Concept Taught in Udemy Course
usnistgov/pyMCR
pyMCR: Multivariate Curve Resolution for Python
slalit360/Data-Science-ML-Cheat-Sheet-Books-Oreilly-
Data Science + ML Cheat Sheet collection by me
bupt-ai-cz/IAST-ECCV2020
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
ioangatop/srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
yaricom/goNEAT
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
alexeyev/abae-pytorch
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
CarsonScott/HSOM
Hierarchical self-organizing maps for unsupervised pattern recognition
microsoft/Data-Discovery-Toolkit
A data discovery and manipulation toolset for unstructured data
ziatdinovmax/pyroVED
Invariant representation learning from imaging and spectral data
AmirAli5/Machine-Learning
In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.
jundsp/VAE-BSS
Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.
benedekrozemberczki/NMFADMM
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
doxakis/HdbscanSharp
HDBSCAN in C#
SudhakarKuma/Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
yaricom/goNEAT_NS
This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima