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66 search results found

Opencog ⭐ 2,231

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Machine Learning Specialization Coursera ⭐ 2,082

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Mlinterview ⭐ 419

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Real Time Self Adaptive Deep Stereo ⭐ 377

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

HE —— “螺旋熵减机”

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Gcc Nmf ⭐ 179

Real-time GCC-NMF Blind Speech Separation and Enhancement

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Hhcl Reid ⭐ 132

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

Helix_theory ⭐ 132

theory of helix—— “螺旋论（可用来构建螺旋熵减机、及自然演化熵减机系统等）”

Pandora ⭐ 127

PANDORA Advanced Machine Learning for Data Integration, Analysis, and Insightful Discoveries in Health and Disease 💻

Genetic algorithm for unsupervised machine learning in Go.

Fast and explainable clustering in Python

Iast Eccv2020 ⭐ 83

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Stringlifier ⭐ 79

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.

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

Abae Pytorch ⭐ 49

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

pyMCR: Multivariate Curve Resolution for Python

Aiml Projects ⭐ 44

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

Writing Styles Classification Using Stylometric Analysis ⭐ 42

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

Invariant representation learning from imaging and spectral data

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Hierarchical self-organizing maps for unsupervised pattern recognition

Goneat_ns ⭐ 35

This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.

Data Discovery Toolkit ⭐ 31

A data discovery and manipulation toolset for unstructured data

Machine Learning ⭐ 29

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.

Unsupervised 2017 Cvprw ⭐ 25

Disentangling Motion, Foreground and Background Features in Videos

Geothermalcloud.jl ⭐ 23

Geothermal Cloud for Machine Learning

Machine_learning ⭐ 21

A repository of resources for understanding the concepts of machine learning/deep learning.

Hdbscansharp ⭐ 21

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

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.

EBIC - AI-based parallel biclustering algorithm

HEAD-QA: A Healthcare Dataset for Complex Reasoning

Questionclustering ⭐ 15

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Foucluster ⭐ 15

FouCluster compute distance among songs in frequency domains, and operate with clusters

Unsupervised speech enhancement using DVAEs

Unsupervised_extreme_learning_machine ⭐ 13

Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm

Auto Gfqg ⭐ 13

Automatic Gap-Fill Question Generation

Classipygrb ⭐ 12

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

Automatic Glossary Generation ⭐ 11

The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Applying Data Science Using Sas ⭐ 10

Companion and Download Site for the SAS Press Book "Applying Data Science - Business Case Studies Using SAS"

Bold5000_autoencoder ⭐ 10

autoencoder trained on BOLD5000 dataset

Goeshyperneat ⭐ 9

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

Subspace Clustering Action Recognition ⭐ 9

Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"

A Python library for Bayesian Anomaly Detection

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

Statistical Methods And Machine Learning In R ⭐ 8

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Priordepth ⭐ 8

PriorDepth : Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors

Machine_learning ⭐ 7

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

Unsupervisedvideosummarization ⭐ 7

Source code for the paper "Unsupervised Video Summarization via Multi-source Features" published at ICMR 2021

Deep Embedded Music ⭐ 7

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Nlp Project Book Insights With Plotly ⭐ 7

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

3d Object Detection ⭐ 7

Weighted Unsupervised Learning for 3D Object Detection

Machine Learning Clustering Retrieval ⭐ 6

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

Machine Learning Algorithms ⭐ 6

This repository gives introduction to popular machine learning algorithms in python.

Python scripts and datasets of the "Extremely Low-Resource Neural Machine Translation: A Case Study of Cantonese" project

Inflearn New Year Event 2020 ⭐ 6

기획자와 마케터를 위한 이벤트 댓글 분석 - feat. 인프런 새해 다짐 이벤트

Magist Algorithm ⭐ 6

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

Pyprotoclust ⭐ 5

Python Prototype Clustering: an implementation of minimax linkage for hierarchical clustering

Unsupervisedensembles ⭐ 5

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

1-66 of 66 search results

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