mnist topic

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

kiryor

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

TsingZ0

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

mafda

MNIST with TensorFlow Lite on Android

nex3z

Tensorflow implementation of conditional variational auto-encoder for MNIST

hwalsuklee

Early stopping for PyTorch

Bjarten

Layers Outputs and Gradients in Keras. Made easy.

philipperemy

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

snknitin

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

gram-ai

GPU Accelerated t-SNE for CUDA with Python bindings

CannyLab