158 Open source projects that are alternatives of or similar to Keract

CNN example for training your own datasets.

Adversarial Discriminative Domain Adaptation in Chainer

Introduction to Deep Neural Networks with Keras and Tensorflow

A minimal implementation of Wasserstein GAN

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

🔥 Reproducibly benchmarking Keras and PyTorch models

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Tensorflow implementation of variational auto-encoder for MNIST

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Convolutional Neural Network with CUDA (MNIST 99.23%)

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

mnist with Tensorflow

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

Emerging Technologies Project - 4th Year 2017

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

Simple neural network implementation in Rust

TensorFlow Lite models, samples, tutorials, tools and learning resources.

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Simple tutorials using Keras Framework

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

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

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

Build deep learning applications in a new and easy way.

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

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

Collection of generative models in Tensorflow

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

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

Using various CNN techniques on the MNIST dataset

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

Extreme Learning Machine implemented in Pytorch

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Learning about Haskell with Variational Autoencoders

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

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

微信公众号数字识别

Theano implementation of XNOR-Net

Open Set Recognition

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Recognize Digits using Deep Neural Networks in Google Chrome live!

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

A Flask web app for handwritten digit recognition using machine learning

Six snippets of code that made deep learning what it is today.

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Early stopping for PyTorch

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A modified extractor for the CROHME handwritten math symbols dataset.

Experiments for understanding disentanglement in VAE latent representations

Invert the color of MNIST images with PyTorch

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

猫狗大战

A free audio dataset of spoken digits. Think MNIST for audio.

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)