136 Open source projects that are alternatives of or similar to mnist-flask

In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Experiments on cluttered mnist dataset with Tensorflow.

Keras MNIST for Handwriting Detection

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

A curated list of dedicated resources and applications

Handwritten text to synths!

Lingvo

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Tensorflow 2.0 implementation of Adversarial Autoencoders

A realtime digit OCR on the browser using Machine Learning

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Implementation of key concepts of neuralnetwork via numpy

CNN classification model built in Keras used for Digit Recognizer task on Kaggle (https://www.kaggle.com/c/digit-recognizer)

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

A modified extractor for the CROHME handwritten math symbols dataset.

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

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

Generative Adversarial Network for MNIST with tensorflow

Create adversarial images to fool a MNIST classifier in TensorFlow

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.

Generative Adversarial Networks in TensorFlow 2.0

🎎 InfoGAN: Interpretable Representation Learning

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Neural network library written in C and Javascript

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Playing with MNIST. Machine Learning. Generative Models.

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

手写数字识别。利用Tensorflow和MNIST实现的一个简单的手写数字识别程序。

Multi-Classification on dataset of MNIST

Predict handwritten digits with CoreML

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

A small convolution neural network deep learning framework implemented in c++.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Simple Implementation of many GAN models with PyTorch.

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

Minimalist implementation of VQ-VAE in Pytorch

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

TensorBasicModel

MNIST with TensorFlow Lite on Android

One-Shot Learning with Triplet CNNs in Pytorch

Collection of generative models in Pytorch version.

Convolutional Neural Network with CUDA (MNIST 99.23%)

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

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

Tensorflow-example：使用MNIST训练模型，并识别手写数字图片

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

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

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

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Tensorflow implementation of adversarial auto-encoder for MNIST