svhn
There are 72 repositories under svhn topic.
yunjey/mnist-svhn-transfer
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Natsu6767/InfoGAN-PyTorch
PyTorch Implementation of InfoGAN
potterhsu/SVHNClassifier
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
penny4860/SVHN-deep-digit-detector
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
9310gaurav/virtual-adversarial-training
Pytorch implementation of Virtual Adversarial Training
ypwhs/deeplearning-models
各种深度学习结构、模型和技巧的集合
9310gaurav/ali-pytorch
PyTorch implementation of Adversarially Learned Inference (BiGAN).
hangyao/street_view_house_numbers
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
elliebirbeck/model-deployment-flask
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
aditya9211/SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
pavitrakumar78/Street-View-House-Numbers-SVHN-Detection-and-Classification-using-CNN
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
ShowLo/MobileNetV3
An implementation of MobileNetV3 with pyTorch
Yangyangii/DANN-pytorch
Implementation of DANN with pytorch
ritchieng/NumNum
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
penny4860/Weakly-Supervised-Text-Detection
I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.
machinecurve/extra_keras_datasets
📃🎉 Additional datasets for tensorflow.keras
beeps82/SVHN_CNN
Four digit SVHN (Street View House Number) sequence prediction with CNN using Keras with TensorFlow backend
kunzhan/InfoMatch
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
pfnet-research/chainer-ADDA
Adversarial Discriminative Domain Adaptation in Chainer
chia56028/Street-View-House-Numbers-Detection
This project uses yolov5 pre-trained model to solve Street View House Numbers images object detection task.
jiweibo/SVHN-Multi-Digit-Recognition
A implementation of [Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks](https://arxiv.org/pdf/1312.6082.pdf).
Learning-and-Intelligent-Systems/Analytical-Learning-Theory
97.39% on CIFAR10 with PyTorch
blaueck/pytorch-demo
A small demo for training cnn with pytorch.
elliebirbeck/sklearn-tutorial
An Image Recognition tutorial written for the HyperionDev blog
cambridge-mlg/arch_uncert
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
Cerenaut/Preprocess-SVHN
Preprocess Google Street View House Number (SVHN) dataset, producing a set of PNG images.
daQuincy/Street_View_House_Numbers
CNNs for recognizing and detecting multi-digit sequence in the svhn dataset, implemented in Keras using Tensorflow backend
quangvu0702/SVHN
Nhận dạng biển số nhà. Object detection. The Street View House Numbers (SVHN) Dataset
axium/VAE-SVHN
Variational Autoencoder Trained on SVHN dataset with weights.
adamci/img2txt
A series of experiments using convnets and LSTMs to generate text from images
k-chuang/tf-svhn
[Deep Learning] A Tensorflow project using a ConvNet to classify digits from Google's Street View House Number (SVHN) images.
btknzn/Uno-Card-Game-
Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET
DasariJayanth/Imbalanced-Semi-or-Self-Supervised-Learning
Implementation of semi and self supervised learning on Imbalanced Dataset