penny4860/Yolo-digit-detector

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

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nikola310/svhn_classification

Classification of house numbers

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JGuymont/humanware

Different convolutional neural network implementations for predicting the lenght of the house numbers in the SVHN image dataset. First part of the Humanware project in ift6759-avanced projects in ML.

Language: Python - Size: 233 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 0

mohsinraza2999/CNN-model-using-SVHN-dataset

Building a CNN model using SVHN dataset

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christopher-beckham/amr

Official adversarial mixup resynthesis repository

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MuGemSt/SVHN-Recognition

This project is a PyTorch implementation that uses deep CNN to recognize multi-digit numbers using the SVHN dataset derived from Google Street View house numbers, each picture contains a set of numbers from 0 to 9, the model is tested to have 89% accuracy.| 使用深度卷积神经网络从街景图像中识别多位数门牌号的PyTorch实现方案，使用的数据集为SVHN，来源于谷歌街景门牌号码，每张图片中包含一组0-9的阿拉伯数字，经测试精确度可达89%

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GraceSevillano/Advanced-Image-Analysis-Assignments

Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.

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attaullah/py_self-supervised

Self-training variants using PyTorch

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radimurban/svhn-synthesis

We implement a conditional Deep Convolutional Generative Adversarial Network (DCGAN) sampling high-quality Street View House Numbers (SVHN), conditioned on an embedding of a desired label.

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oscarhehe/Svhn-Recognition

提供了一个街景字符编码识别方案以供参考

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haseebtehsin/Neural-Network-using-Tensorflow-keras-and-SVHN-Dataset

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reshalfahsi/domain-adaptation

Domain Adaptation With Domain-Adversarial Training of Neural Networks

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ChenLiu-1996/GAN-evaluator

A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.

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DorinK/Assignment-2-CNN-over-SVHN

Second Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University

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joycenerd/yolov5-svhn-detection

Pytorch implementation of homework 2 for VRDL course in 2021 Fall semester at NYCU.

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Galaxies99/SVHN-playground

An Exploration of Machine Learning Methods on SVHN Dataset

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Jacob12138xieyuan/digits-recognition-based-on-transfer-learning

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pha123661/Domain-Adversarial-Network

Domain adversarial network trained on MNIST-M, SVHN, and USPS

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shouldworkright/svhn-cnn

This repository houses a series of convolutional neural networks and performance benchmarks developed as part of UMass Dartmouth's CIS465 Topics in Computer Vision course.

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adijo/svhn-conv-vae

An implementation of a Convolutional VAE on the SVHN dataset.

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vuongdanghuy/dl-svhn

Size: 76.4 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

lorepas/quantized-neural-network

Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.

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arianehanbi/Self-Supervised-Learning

A project constructing an image representation model via unsupervised and self-supervised learning.

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JohanYe/CS294-158

Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch

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tonyjo/multi_digit_classification_attention

Using attention for sequence classification for multi-character prediction

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frosty-sh/DigitRecognizer

Convolutional Neural Network created using Keras with tensorflow backend. Machine learning model used to predict the digit on a photo.

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nWhovian/drcn-digits-classification

Domain Adaptation for digits classification using Deep Reconstruction-Classification Network

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learningwithmachines/dcgan-svhn

gan that tries to generate samples from the svhn database

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