A MNIST-like fashion product database. Benchmark :point_down:

Collection of generative models in Tensorflow

Lingvo

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Collection of generative models in Pytorch version.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

GPU Accelerated t-SNE for CUDA with Python bindings

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

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

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

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Early stopping for PyTorch

Layers Outputs and Gradients in Keras. Made easy.

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

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Experiments for understanding disentanglement in VAE latent representations

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

A challenge to explore adversarial robustness of neural networks on MNIST.

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

generate MNIST using a Variational Autoencoder

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

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

This project is real-time visualization of a network recognizing digits from user's input.

Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database