mnist-classification 开源项目推荐（1,119 个）

Shikhargupta /Spiking-Neural-Network

Pure python implementation of SNN

dougbrion /pytorch-classification-uncertainty

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

zhengyima /mnist-classification

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）

amitshekhariitbhu /AndroidTensorFlowMNISTExample

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

hereismari /mnist-android-tensorflow

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

ksopyla /svm_mnist_digit_classification

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

anujdutt9 /Handwritten-Digit-Recognition-using-Deep-Learning

Handwritten Digit Recognition using Machine Learning and Deep Learning

ylsung /pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

leamoon /StochasticNet

Nerual Network of Stochastic Computing for MNIST Recognition

hwalsuklee /tensorflow-mnist-cnn

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

mohammad-ghaderi /mnist-asm-nn

A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, no high-level languages - just pure assembly - ~5.3× faster than NumPy

mil-ad /snip

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

shaohua0116 /MultiDigitMNIST

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

tlatkowski /gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

cxy1997 /MNIST-baselines

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

YeongHyeon /ResNeSt-TF2

TensorFlow implementation of "ResNeSt: Split-Attention Networks"

albertnadal /Tensar

A C++ implementation to create, visualize and train Convolutional Neural Networks

hwalsuklee /how-far-can-we-go-with-MNIST

A collection of codes for 'how far can we go with MNIST' challenge

hwalsuklee /tensorflow-mnist-MLP-batch_normalization-weight_initializers

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

m-jovanovic /digit-recognizer

Small neural network framework developed in C#, specialized in digit classification (MNIST dataset)