A MNIST-like fashion product database. Benchmark 👇

Collection of generative models in Tensorflow

Lingvo

Collection of generative models in Pytorch version.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Layers Outputs and Gradients in Keras. Made easy.

Experiments for understanding disentanglement in VAE latent representations

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

A free audio dataset of spoken digits. An audio version of MNIST.

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

Minimalist implementation of VQ-VAE in Pytorch

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Tensorflow implementation of variational auto-encoder for MNIST

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)