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

Collection of generative models in Tensorflow

Lingvo

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".

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

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.

Experiments for understanding disentanglement in VAE latent representations

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

Minimalist implementation of VQ-VAE in Pytorch

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

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

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

Tensorflow implementation of variational auto-encoder for MNIST

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

Simple Implementation of many GAN models with PyTorch.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

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