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GitHub topics: unsupervised-deep-learning

matciotola/Z-PNN

Pansharpening by convolutional neural networks in the full resolution framework

Language: Python - Size: 41.2 MB - Last synced at: 27 days ago - Pushed at: 11 months ago - Stars: 60 - Forks: 9

pvnieo/SURFMNet-pytorch

A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"

Language: Python - Size: 18 MB - Last synced at: 9 days ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 2

adityajn105/FaceGAN-Generating-Random-Faces

Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.

Language: Python - Size: 171 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 5

Neel7317/Generative-Models

Basic to advanced level of generative model with code.

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ChenLiu-1996/CUTS

[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Language: Python - Size: 50.6 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 34 - Forks: 2

AlastairPickering/elephant_AI

Code used in 'A scalable unsupervised deep learning approach extracts behavioural and demographic insights from forest elephant vocalisations'

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

ahmedgh970/brain-anomaly-seg

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Language: Python - Size: 120 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 20 - Forks: 3

AmrHendy/programming-language-translator

An easy way to use the released TransCoder by Facebook AI Research to convert code from one programming language to another using unsupervised neural machine translation (NMT) systems that use deep-learning to translate text from one natural language to another and is trained only on monolingual source data.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 12

lakmalnd/SimpleVAE

This repository provides implementation simplified Variational Autoencoder (VAE), producing smooth latent space completely unsupervised manner. And this can be used as generative model as well.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

matciotola/Lambda-PNN

Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity

Language: Python - Size: 2.22 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 23 - Forks: 2

HamedHojatian/HBF-Net

Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.

Language: Python - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 13

Karan-Malik/RestrictedBoltzmannMachine

Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.

Language: Python - Size: 19.4 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

hvn2/DIP-SLR

Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.

Language: Jupyter Notebook - Size: 102 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

AmirAli5/Deep-Learning

In this repo, all about Deep 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 Neural Network Architectures.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 24

vLAR-group/GrowSP

🔥GrowSP in PyTorch (CVPR 2023)

Language: Python - Size: 82.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 0

hvn2/SURE-MS-HS

Codes for the paper "Hyperspectral super-resolution by unsupervised convolutional neural network and SURE" in Proceeding of IGARSS 2022, Kuala Lumpur, Malaysia.

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

alexjercan/unsupervised-segmentation

Unsupervised image segmentation based on depth and normal maps clustering.

Language: Jupyter Notebook - Size: 55.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

cs-mac/Unsupervised_Style_Transfer

Unsupervised Style Transfer, transferring sentiment of reviews using classification attention weights.

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Karan-Malik/Self-Organizing-Maps

Python implementation of the unsupervised Deep Learning Algorithm SOM

Language: Python - Size: 36.1 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Related Keywords
unsupervised-deep-learning 19 deep-learning 10 pytorch 5 unsupervised-learning 4 python 4 python3 4 remote-sensing 3 deep-neural-networks 3 unsupervised-machine-learning 2 medical-imaging 2 image-segmentation 2 neural-network 2 pansharpening 2 unsupervised-learning-algorithms 1 torch 1 cnn 1 restricted-boltzmann-machine 1 pytorch-implementation 1 numpy-neural-network 1 numpy 1 geoeye-1 1 multispectral 1 deep-learning-algorithms 1 neural-networks 1 boltzmann-machines 1 artificial-neural-networks 1 artificial-intelligence 1 rssi 1 hbf 1 deepmimo 1 codebook 1 worldview-3 1 worldview-2 1 neural-networks-from-scratch 1 som 1 self-organizing-map 1 dimensionality-reduction 1 deeplearning 1 style-transfer 1 sentiment-classification 1 hierarchical-attention-networks 1 stein-unbiased-risk-estimate 1 multispectral-hyperspectral-imag-fusion 1 image-fusion 1 self-driving 1 pointcloud 1 geometric-deep-learning 1 3d-semantic-segmentation 1 3d-scene-understanding 1 3d 1 supervised-deep-learning 1 sparsisty 1 low-rank 1 hyperspectral-image 1 denoising 1 deep-image-prior 1 semantic-segmentation 1 self-supervised-learning 1 multiscale-segmentation 1 multiscale 1 miccai2024 1 miccai-2024 1 miccai 1 medical-image-segmentation 1 variational-autoencoder 1 generative-model 1 gans 1 autoencoder 1 generative-adversarial-network 1 gan 1 face-generation 1 dcgan 1 surfmnet-pytorch 1 shape-matching 1 shape-descriptor 1 shape-correspondence 1 functional-maps 1 super-resolution 1 variational-autoencoders 1 vaes 1 latent-space 1 unsupervised-translation 1 transformer 1 transcoder 1 programming-language 1 nlp 1 machine-translation 1 transformers 1 reconstruction 1 mri-brain 1 miccai2022 1 latent-variable-models 1 flair 1 brainles22-workshop 1 autoencoders 1 anomaly-segmentation 1 anomaly-detection-models 1 elephants 1 bioacoustics 1 unsupervised-segmentation 1