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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Updated
Mar 24, 2023 - Jupyter Notebook
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.
Official adversarial mixup resynthesis repository
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.
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.
Pytorch implementation of homework 2 for VRDL course in 2021 Fall semester at NYCU.
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.
Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch
An Exploration of Machine Learning Methods on SVHN Dataset
Classification of house numbers
An implementation of a Convolutional VAE on the SVHN dataset.
Second Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University
Numerical Digit Detection and Classification on SNVH Dataset
Using attention for sequence classification for multi-character prediction
A project constructing an image representation model via unsupervised and self-supervised learning.
Convolutional Neural Network created using Keras with tensorflow backend. Machine learning model used to predict the digit on a photo.
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