355 Open source projects that are alternatives of or similar to Keras-CIFAR10

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

benchmarking miopen

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

This is a Chinese Character ocr system based on Deep learning (VGG like CNN neural net work),this rep include trainning set generating,image preprocesing,NN model optimizing based on Keras high level NN framwork

an updated version of fb.resnet.torch with many changes.

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

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SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Deploy your Flask web app classifier on Heroku which is written using fastai library.

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Bottleneck Transformers for Visual Recognition

PyTorch to Keras model convertor

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A collection of deep learning models (PyTorch implemtation)

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Hyperspectral image Target Detection based on Sparse Representation

A numpy based CNN implementation for classifying images

Interactive Visual Machine Learning Demos.

经典机器学习算法的极简实现

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Unofficial Pytorch implementation of Deep Compression in CIFAR10

No description or website provided.

Train DenseNet on Cifar-10 based on Keras

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Predicting Google’s stock price using regression

Identifying numbers from bankcard, based on Deep Learning with Keras [China Software Cup 2019]

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Implement popular models by different DL framework. Such as tensorflow and caffe

Basics of Musical Instruments Classification using Machine Learning

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

anomaly detection by one-class SVM

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

基于新浪微博数据的情感极性分析

Generative Adversarial Networks in TensorFlow 2.0

Prediction of protein contact map

👁 Vision : Model 4: GoogLeNet : Image Classification

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

CBAM implementation on TensorFlow Slim

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

a deep accent recognition network

Keras implementation of temporal ensembling(semi-supervised learning)

A practice project for machine learning and stop price prediction

Multiclass image classification using Convolutional Neural Network

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The R package for SVM with GPU architecture based on the GTSVM software

A pytorch implementation of Bilinear CNNs for Fine-grained Visual Recognition(BCNN).

一种运用resnet进行车型识别的方法，

实现遇到的分类网络（持续更新）

Image classification of Fungus using ResNet

a frame of amd-v svm nest

No description or website provided.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

No description or website provided.

Padestrian Detection in images using HOG Vector

Gluon to PyTorch deep neural network model converter

PyTorch implementation of shake-drop regularization