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#

mnist-classification

Here are 1,063 public repositories matching this topic...

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

  • UpdatedJan 2, 2024
  • Python

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)

  • UpdatedOct 16, 2020
  • Python

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

  • UpdatedMay 13, 2018
  • Java

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

  • UpdatedApr 1, 2019
  • Python

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

  • UpdatedAug 26, 2020
  • Python

Nerual Network of Stochastic Computing for MNIST Recognition

  • UpdatedJul 1, 2022
  • Python

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

  • UpdatedJul 26, 2018
  • Python

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

  • UpdatedNov 1, 2025
  • Assembly

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

  • UpdatedApr 23, 2019
  • Python

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

  • UpdatedJul 2, 2021
  • Python

TensorFlow implementation of "ResNeSt: Split-Attention Networks"

  • UpdatedMay 28, 2021
  • Python

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

  • UpdatedDec 26, 2018
  • Python

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

  • UpdatedNov 29, 2022
  • C++

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

  • UpdatedMay 7, 2017

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

  • UpdatedAug 10, 2024
  • C#

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

  • UpdatedJan 20, 2017
  • Python

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