mnist

louis-she/minetorch

Build deep learning applications in a new and easy way.

nex3z/tflite-mnist-android

MNIST with TensorFlow Lite on Android

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.

hwalsuklee/tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

ethanhe42/GAN-MNIST

Generative Adversarial Network for MNIST with tensorflow

amirhfarzaneh/lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

ChawDoe/LeNet5-MNIST-PyTorch

The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%

znxlwm/tensorflow-MNIST-GAN-DCGAN

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

csinva/gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

narumiruna/pytorch-distributed-example

hijkzzz/cuda-neural-network

Convolutional Neural Network with CUDA (MNIST 99.23%)

JonathanRaiman/tensorflow-infogan

:dolls: InfoGAN: Interpretable Representation Learning

hwalsuklee/tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

znxlwm/tensorflow-MNIST-cGAN-cDCGAN

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

hwchong/MNIST_DRAW

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

DataForScience/DeepLearning

Deep Learning From Scratch

podgorskiy/GPND

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

snknitin/DeepfakeCapsuleGAN

Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes

ma-xu/Open-Set-Recognition

Open Set Recognition

gyunggyung/PyTorch

PyTorch tutorials A to Z

TilliFe/Infermo

Tensors and dynamic Neural Networks in Mojo

dlaptev/TI-pooling

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

andrewliao11/dni.pytorch

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

ypwhs/deeplearning-models

各种深度学习结构、模型和技巧的集合

sanghoon/tf-exercise-gan

Tensorflow implementation of different GANs and their comparisions

matex-org/matex

Machine Learning Toolkit for Extreme Scale (MaTEx)

narumiruna/efficientnet-pytorch

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

lyeoni/pytorch-mnist-VAE

clintonreece/keras-cloud-ml-engine

Adventures using keras on Google's Cloud ML Engine

chickenbestlover/ELM-pytorch

Extreme Learning Machine implemented in Pytorch

kvmanohar22/Generative-Models

Comparison of Generative Models in Tensorflow

nnormandin/Conditional_VAE

conditional variational autoencoder written in Keras [not actively maintained]

zlxy9892/ml_code

A repository for recording the machine learning code

ryanjcooper/EMNIST

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

shaohua0116/MultiDigitMNIST

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning