PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
-
Updated
May 27, 2017 - Python
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
PyTorch Implementation of InfoGAN
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
Pytorch implementation of Virtual Adversarial Training
PyTorch implementation of Adversarially Learned Inference (BiGAN).
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
An implementation of MobileNetV3 with pyTorch
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
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.
📃🎉 Additional datasets for tensorflow.keras
Four digit SVHN (Street View House Number) sequence prediction with CNN using Keras with TensorFlow backend
Adversarial Discriminative Domain Adaptation in Chainer
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
A implementation of [Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks](https://arxiv.org/pdf/1312.6082.pdf).
The author's officially PyTorch Channel-Fusion implementation.
Add a description, image, and links to the svhn topic page so that developers can more easily learn about it.
To associate your repository with the svhn topic, visit your repo's landing page and select "manage topics."