mnist-dataset | Topic | Ecosyste.ms: Repos

Topic: "mnist-dataset"

emadRad/lstm-gru-pytorch

LSTM and GRU in PyTorch

Language: Jupyter Notebook - Size: 142 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 218 - Forks: 57

mafda/generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 209 - Forks: 79

philipperemy/tensorflow-phased-lstm

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Language: Python - Size: 1.02 MB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 128 - Forks: 24

GiorgosXou/NeuralNetworks

A resource-conscious neural network implementation for MCUs

Language: C++ - Size: 1.23 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 84 - Forks: 26

ph1ps/MNIST-CoreML 📦

Predict handwritten digits with CoreML

Language: Python - Size: 4.22 MB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 66 - Forks: 11

prannayk/videoMultiGAN

End to End learning for Video Generation from Text

Language: Python - Size: 2.27 GB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 64 - Forks: 23

harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Language: Python - Size: 13 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 62 - Forks: 18

thomalm/svhn-multi-digit

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 59 - Forks: 22

omimo/xRBM

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Language: Python - Size: 36.6 MB - Last synced at: 29 days ago - Pushed at: over 7 years ago - Stars: 55 - Forks: 22

floydhub/mnist

Pytorch mnist example

Language: Python - Size: 324 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 43 - Forks: 24

YeongHyeon/CVAE-AnomalyDetection-PyTorch

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Language: Python - Size: 2.31 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 2

RubixML/MNIST

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Language: PHP - Size: 19.9 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 39 - Forks: 9

ildoonet/tf-lcnn

Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

Language: Python - Size: 348 KB - Last synced at: 11 months ago - Pushed at: over 7 years ago - Stars: 38 - Forks: 10

christopher-beckham/amr

Official adversarial mixup resynthesis repository

Language: Python - Size: 13.9 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 35 - Forks: 2

PratikGarai/MNIST-Federated

Experiments on MNIST dataset and federated training using Flower framework

Language: Jupyter Notebook - Size: 9.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 34 - Forks: 28

rhammell/mnist-draw

Draw and classify digits (0-9) in a browser using machine learning

Language: Python - Size: 7.54 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 20

YeongHyeon/MemAE-TF2

TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

Language: Python - Size: 736 KB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 25 - Forks: 5

anishsingh20/Deep-Learning-in-R-using-Keras-and-Tensorflow-

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

Language: R - Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 25 - Forks: 19

krshrimali/Digit-Recognition-MNIST-SVHN-PyTorch-CPP

Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API

Language: C++ - Size: 14.6 KB - Last synced at: 19 days ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 10

maneprajakta/Digit_Recognition_Web_App

A Hand Written Digit Recognition app trained on the MNIST dataset of Keras using the CNN model. skills used are Tensorflow, HTML,CSS,javascript.

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 22 - Forks: 2

rafi007akhtar/Digit-Classifier

Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.

Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 21 - Forks: 12

integeruser/MNIST-cnn

Convolutional neural networks with Python 3

Language: Python - Size: 110 KB - Last synced at: 6 months ago - Pushed at: over 8 years ago - Stars: 21 - Forks: 14

sunsided/mnist-matlab

MNIST Database of Handwritten Digits for MATLAB

Language: Matlab - Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 21 - Forks: 7

evarae/CNN_Tutorial

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.

Language: Java - Size: 13.7 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 19 - Forks: 3

mikepallister/MNIST-Machine-Learning

Machine Learning MNIST Digits with a Neural Network in Excel

Size: 20 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 19 - Forks: 10

jpowie01/CUDA-DNN-MNIST

Example C++ CUDA implementation for training Neural Network on MNIST dataset

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 19 - Forks: 9

snooky23/K-Sparse-AutoEncoder

Sparse Auto Encoder and regular MNIST classification with mini batch's

Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: 9 months ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 9

YeongHyeon/GANomaly-PyTorch

Implementation of GANomaly with MNIST dataset

Language: Python - Size: 710 KB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 2

irfanchahyadi/Handwriting-Calculator

Implementation of MNIST dataset for handwriting recognition.

Language: Python - Size: 12.7 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 1

YeongHyeon/MNIST_AttentionMap

Attention mechanism with MNIST dataset

Language: Python - Size: 873 KB - Last synced at: 13 days ago - Pushed at: almost 4 years ago - Stars: 17 - Forks: 0

dedhiaparth98/capsule-network

A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules

Language: Jupyter Notebook - Size: 287 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 15

YeongHyeon/RIAD-PyTorch

PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"

Language: Python - Size: 1.92 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 2

Chinmayrane16/MNIST-Digit-Recognizer-CNN-Keras-99.66

Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

YeongHyeon/SKNet-TF2

TensorFlow implementation of "Selective Kernel Networks"

Language: Python - Size: 127 KB - Last synced at: 13 days ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 0

sachin-bisht/Digit-Recognition

Recognize handwritten digits using back-propagation algorithm on MNIST data-set

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 4

heanuea/Mnist-Digit-Reader-

A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9

Language: HTML - Size: 9.19 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 14 - Forks: 13

Matesxs/GAN-Playground

This repository is about different types of GANs in pytorch, their proper settings and training results

Language: Python - Size: 31.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

Amirhossein-Rajabpour/Handwritten-Digit-Recognition-from-scratch

Computational Intelligence Course Project

Language: Jupyter Notebook - Size: 999 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 0

ankitaggarwal011/MNIST-Sequence

A tool to generate image dataset for sequences of handwritten digits using MNIST database

Language: Python - Size: 1.56 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 4

ar-ms/lstm-mnist

RNN classifier built with Keras to classify MNIST dataset

Language: Python - Size: 11.4 MB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 13 - Forks: 11

imironica/keras-without-a-phd

A short introduction on deep learning solving a classical OCR problem. This project is a proof of concept performed for the Machine Learning laboratory on University Politehnica of Bucharest

Language: Python - Size: 13.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

rhr407/EVAGAN

The repository is dedicated to Evasion Generative Adversarial Network source code.

Language: Jupyter Notebook - Size: 251 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 4

YeongHyeon/DGM-TF

TensorFlow implementation of Disentangled Generative Model (DGM) with MNIST dataset.

Language: Python - Size: 3.06 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

Spidy20/Handwriting_Digit_recognition

It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset

Language: Python - Size: 25.4 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 7

s-omranpour/X-VAE-keras

simple implementations of different kinds of VAE in tf.keras

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 3

Virv12/DigitRecognition

Handwritten digit recognition implemented in c++ without libraries

Language: C++ - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

miro-jelaska/handwritten-digit-recognition

Training and testing done in Python, recognition web done in JavaScript.

Language: JavaScript - Size: 2.62 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 4

YeongHyeon/GANomaly-TF

TensorFlow implementation of GANomaly (with MNIST dataset)

Language: Python - Size: 4.49 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 1

YeongHyeon/Skip-GANomaly

Implementation of Skip-GANomaly with MNIST dataset

Language: Python - Size: 421 KB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 2

srohit0/food_mnist

This dataset has 10 food categories, with 5,000 images. For each class, 125 manually reviewed test images are provided as well as 375 training images. All images were rescaled to have a maximum side length of 512 pixels.

Language: Jupyter Notebook - Size: 234 MB - Last synced at: 24 days ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 1

sunsided/mnist

MNIST Database of Handwritten Digits

Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 3

YeongHyeon/GhostNet

TensorFlow implementation of GhostNet: More Features from Cheap Operations.

Language: Python - Size: 180 KB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 4

Ksuryateja/DCGAN-MNIST-pytorch

A DCGAN built on the MNIST dataset using pytorch

Language: Python - Size: 14.7 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1

daniel-e/mnist_octave

Loading MNIST handwritten digits with Octave

Language: Python - Size: 24.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 1

YeongHyeon/DINO_MNIST-PyTorch

Pytorch implementation of "Emerging Properties in Self-Supervised Vision Transformers" (a.k.a. DINO)

Language: Python - Size: 3.33 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

YeongHyeon/Normalizing-Flow-TF2

TensorFlow implementation of "Variational Inference with Normalizing Flows"

Language: Python - Size: 81.7 MB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

YeongHyeon/ReXNet-TF2

TensorFlow implementation of "ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network"

Language: Python - Size: 266 KB - Last synced at: 13 days ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 1

nedeljkovignjevic/handwritten-digit-recognition

Using convolutional neural network and MNIST dataset to recognize handwritten digits

Language: Python - Size: 22 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 1

yuanxiaosc/Deep-Convolutional-Generative-Adversarial-Network

Tensorflow 2. This repository demonstrates how to generate images of handwritten digits (MINIST) using a Deep Convolutional Generative Adversarial Network (DCGAN). 深度卷积生成对抗网络

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: 2 days ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 4

MohamedFawzy/tensorflow-getting-started

Tensorflow Quick Introduction

Language: Python - Size: 471 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 0

Muhammad-Hasham-Khalid/Digitizer

Webapp to recognize handwritten digits using mnist model.

Language: JavaScript - Size: 3.86 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

LukaszMalucha/Image-Classification

Flask Blueprint & RESTful application with various image classification models.

Language: Python - Size: 208 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 6

consequencesunintended/Pseudo-Labelling

Pseudo Labelling on MNIST dataset in Tensorflow 2.x

Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 3

Chirag-Shilwant/One-Shot-Classification-using-Siamese-Network-on-MNIST-Dataset

A Siamese Neural Network is a class of neural network architectures that contain two or more identical subnetworks. ‘identical’ here means, they have the same configuration with the same parameters and weights.

Language: Jupyter Notebook - Size: 111 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 4

YeongHyeon/MemAE

Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.

Language: Python - Size: 1.39 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

YeongHyeon/f-AnoGAN-TF

TensorFlow implementation of f-AnoGAN (with MNIST dataset)

Language: Python - Size: 3.62 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

siddharth9820/MoDNN

Implementation of algorithms for memory optimized deep neural network training

Language: Cuda - Size: 11.3 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 2

jayaneetha/colorized-MNIST

A dataset of MNIST Digit with RGB coloured Backgrounds. Can be used for multi objective classification and domain adaptation

Size: 5.17 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 3

bsiegelwax/784-Dimensional-Quantum-MNIST

Quantum MNIST using amplitude encoding instead of dimensionality reduction.

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

codeperfectplus/autoEncoders

Deep convolutional autoencoder for image denoising

Language: PureBasic - Size: 11.1 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1

YeongHyeon/CGAN-TF

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.

Language: Python - Size: 3.81 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

JasonFengGit/Naive-Bayes-Number-Recognition

A Naive Bayes hand-written number classifier implemented in Python using only built-in libraries. (MNIST dataset)

Language: Python - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

blurred-machine/Computer-Vision-Image-Classification

In this repository I have implemented computer vision on MNIST dataset for images classification for digits between 0-9, fashion clothings and sign language hand signals. The models are implemented using TesorFlow. Feel free to send a PR for any oprimization or modification.

Language: Jupyter Notebook - Size: 48.6 MB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 5