mnist-dataset

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.

philipperemy/tensorflow-phased-lstm

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

ph1ps/MNIST-CoreML

Predict handwritten digits with CoreML

GiorgosXou/NeuralNetworks

A resource-conscious neural network implementation for MCUs

prannayk/videoMultiGAN

End to End learning for Video Generation from Text

thomalm/svhn-multi-digit

OSSpk/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.

omimo/xRBM

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

floydhub/mnist

Pytorch mnist example

ildoonet/tf-lcnn

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

YeongHyeon/CVAE-AnomalyDetection-PyTorch

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

PratikGarai/MNIST-Federated

Experiments on MNIST dataset and federated training using Flower framework

RubixML/MNIST

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

christopher-beckham/amr

Official adversarial mixup resynthesis repository

rhammell/mnist-draw

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

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

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

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

mikepallister/MNIST-Machine-Learning

Machine Learning MNIST Digits with a Neural Network in Excel

YeongHyeon/MemAE-TF2

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

jpowie01/CUDA-DNN-MNIST

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

integeruser/MNIST-cnn

Convolutional neural networks with Python 3

rafi007akhtar/Digit-Classifier

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

sunsided/mnist-matlab

MNIST Database of Handwritten Digits for MATLAB

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.

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.

snooky23/K-Sparse-AutoEncoder

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

YeongHyeon/GANomaly-PyTorch

Implementation of GANomaly with MNIST dataset

dedhiaparth98/capsule-network

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

irfanchahyadi/Handwriting-Calculator

Implementation of MNIST dataset for handwriting recognition.

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.

sachin-bisht/Digit-Recognition

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

YeongHyeon/MNIST_AttentionMap

Attention mechanism with MNIST dataset

YeongHyeon/RIAD-PyTorch

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

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

Computational Intelligence Course Project

YeongHyeon/SKNet-TF2

TensorFlow implementation of "Selective Kernel Networks"