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GitHub topics: fashionmnist

shub-garg/FashionMNIST-DCGAN-Generative-Adversarial-Networks-for-Fashion-Image-Generation

This repository contains an implementation of a Deep Convolutional Generative Adversarial Network (DCGAN) trained on the FashionMNIST dataset. The project aims to generate realistic images of clothing items using a GAN architecture. It includes model definitions, training scripts, and visualizations of generated images at various training stages.

Language: Jupyter Notebook - Size: 665 KB - Last synced: about 3 hours ago - Pushed: about 17 hours ago - Stars: 1 - Forks: 0

michalinabijak/autoencoder

Pytorch implementation of a denoising autoencoder.

Language: Python - Size: 2.93 KB - Last synced: 3 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

SlimShadys/FreeAdversarialTraining

This repo contains the PyTorch implementation of the paper 'Adversarial Training for Free!', which can be found here: https://arxiv.org/pdf/1904.12843.pdf

Language: Jupyter Notebook - Size: 58 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

aliabbasjaffri/fashion-mnist-metaflow-bentoml-pipeline

A pipeline built on MetaFlow for training Fashion MNIST dataset using Pytorch, experiment tracking using MLFlow and model deployment using BentoML

Language: Python - Size: 146 KB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 5 - Forks: 0

avilash/pytorch-siamese-triplet

One-Shot Learning with Triplet CNNs in Pytorch

Language: Python - Size: 74.2 KB - Last synced: 6 months ago - Pushed: over 3 years ago - Stars: 86 - Forks: 20

kulin-patel/Fashion-Class-Classification

classification of fashion data(28 x28 greyscale image) into 10 classes.

Language: Jupyter Notebook - Size: 3.04 MB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

TmohamedashrafT/WGAN

Application of Wasserstein Generative Adversarial Networks on Fashion MNIST using PyTorch

Language: Jupyter Notebook - Size: 5.07 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

tlatkowski/gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

Language: Python - Size: 76.7 MB - Last synced: 28 days ago - Pushed: over 1 year ago - Stars: 76 - Forks: 14

HansakaDilshanJayawardana/MLAssignment

SLIIT 4th Year 2nd Semester Machine Learning Project

Language: Jupyter Notebook - Size: 5.09 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

AnodeGrindYo/DiffusionModels

Une série de notebooks qui expliquent en détail comment fonctionnent les modèles de diffusion

Language: Jupyter Notebook - Size: 921 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

rishiraj824/MachineLearningAlgorithms

A consortium of popular ML algorithms/concepts implemented in Python.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

mickypaganini/GAN_tutorial

Vanilla GAN and WGAN implementations in PyTorch on the FashionMNIST dataset

Language: Jupyter Notebook - Size: 8.29 MB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 10 - Forks: 6

krishnadevz/image-classification-and-manipulation-in-python-machine-learning

image classification and manipulation in python machine learning on fashion mnist dataset

Language: Jupyter Notebook - Size: 2.91 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 3 - Forks: 1

Related Keywords
fashionmnist 13 pytorch 8 python 4 fashion-mnist 4 fashion-mnist-dataset 3 gan 3 generative-adversarial-network 3 mnist 3 deep-learning 3 resnet 2 python3 2 wgan 2 tensorflow 2 artificial-intelligence 2 image-processing 1 predictions 1 machine-learning-algorithms 1 machine-learning 1 logistic-regression 1 linear-regression 1 knn-classification 1 k-means-clustering 1 gaussian-distribution 1 consists 1 algorithms-implemented 1 unet-pytorch 1 tenorflow 1 notebook 1 generative-ai 1 diffusionmodels 1 denoising-network 1 denoising-images 1 denoising-diffusion 1 cifar10 1 image-manipulation 1 image-recognition 1 image-classification 1 keras-library 1 image-analysis 1 epochs 1 dataset 1 wasserstein-gan 1 tutorial 1 pytorch-tutorial 1 ipython-notebook 1 fermilab 1 binder 1 tf-idf 1 machinelearning 1 svm-classifier 1 places-almanac 1 perceptron 1 pca-analysis 1 manipulation 1 neural-network 1 cifar-10 1 gans 1 imageclassification 1 cnn-model 1 triplet-networks 1 triplet-loss 1 siamese-network 1 siamese 1 pytorch-siamese 1 pytorch-implmention 1 one-shot-learning 1 meta-learning 1 convolutional-neural-networks 1 mlflow 1 metaflow 1 bentoml 1 adversarial-attacks 1 autoencoder 1 deeplearning 1 dcgan 1 deep-neural-networks 1 ddpm 1 datascience 1 ai 1 2023 1 multiclass-image-classification 1 multiclass-classification 1 jupyter-notebook 1 fashion-classifier 1 fashion-classification 1 fashion 1 colab 1 vanilla-gan 1 tensorflow2 1 tensorflow-models 1 tensorflow-examples 1 tensorflow-2 1 style-transfer 1 mnist-classification 1 cyclegan 1 conditional-gan 1