autoencoder-classification

➕💓Let's build the Simplest Possible Autoencoder . ⁉️🏷We'll start Simple, with a Single fully-connected Neural Layer as Encoder and as Decoder. 👨🏻‍💻🌟An Autoencoder is a type of Artificial Neural Network used to Learn Efficient Data Codings in an unsupervised manner🌘🔑

deep-neural-networks deep-learning google-analytics deep-reinforcement-learning deep-learning-algorithms autoencoder deeplearning sequence-to-sequence sequence deep-learning-tutorial image-denoising autoencoder-mnist autoencoder-clustering autoencoder-neural-network googlecolab autoencoder-classification autoencoder-model deep-convolutional deep-fully-connected simple-autoencoder

Updated May 24, 2020
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Garnica1999 / CreditCardFraudDetectionML

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Deteccion de fraudes de tarjetas de credito usando Machile Learning implementando distintos algoritmos y haciendo comparaciones de rendimiento con respecto a la clasificacion de transacciones.

processing learning machine-learning random-forest credit-card-fraud artificial-intelligence dataset svm-classifier inteligencia-artificial aprendizaje-automatico classification-algorithm mlp-classifier clasificacion procesamiento comparacion autoencoder-classification

Updated May 26, 2020
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abdelrahman-gaber / Classification-AutoEncoder

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The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.

keras classification autoencoders cifar10 cifar10-classification autoencoder-classification

Updated Jul 19, 2020
Python

abhinav3 / CIFAR-Autoencoder-Classification

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cifar10-experiment autoencoder-classification

Updated Aug 11, 2020
Python

danilo-assuncao / classifiers

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Several machine learning classifiers in Python

python machine-learning-algorithms cnn neural-networks ensemble decision-tree optimization-algorithms svm-classifier regression-algorithms mixture-of-experts autoencoder-classification

Updated Sep 26, 2020
Python

spyros-briakos / AutoEncoder-and-Classifier-of-MNIST-images

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Implementation of an Auto-Encoder and Classifier so as to classify images from MNIST dataset.

mnist-dataset autoencoder-mnist autoencoder-classification

Updated Dec 11, 2020
Python

MediaBilly / Autoencoder-And-Classifier-For-MNIST-Handwritten-Digits

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neural-networks mnist-dataset image-classification autoencoders autoencoder-neural-network autoencoder-classification

Updated Mar 14, 2021
Python

MediaBilly / Image-Similarity

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Comparison of multiple methods for calculating MNIST hand-written digits similarity.

data-science machine-learning clustering linear-programming lsh nearest-neighbor-search neural-networks autoencoder mnist-dataset dimensionality-reduction image-classification hypercube earth-movers-distance image-similarity autoencoder-neural-network autoencoder-classification

Updated Mar 14, 2021
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zysymu / unsupervised-adversarial-autoencoder

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A PyTorch implementation of Adversarial Autoencoders for unsupervised classification

astronomy cnn pytorch autoencoder unsupervised-learning adversarial-autoencoders autoencoder-classification

Updated Apr 8, 2021
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zysymu / ml4sci

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A repository containing my submissions for the evaluation test for prospective GSoC applicants for the DeepLense project

astronomy cnn pytorch google-summer-of-code gravitational-lensing unsupervised-learning adversarial-autoencoders pytorch-cnn autoencoder-classification

Updated Apr 8, 2021
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mayur7garg / MalariaCellImageClassification

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Binary Classification of images of cells which are either uninfected or parasitized by malaria.

tensorflow cnn dataset autoencoder malaria autoencoder-classification

Updated Oct 4, 2021
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LorenzoValente3 / Deep-Learning-Models

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Keras implementation of Deep Learning Models applied to the MNIST and Polynomial datasets. Repository for the Software and Computing for Nuclear and Subnuclear Physics Project.

machine-learning deep-learning generative-adversarial-network generative-model variational-autoencoder wasserstein-gan autoencoder-mnist autoencoder-classification