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.| Shi Yong Shen Du Juan Ji Shen Jing Wang Luo Cong Jie Jing Tu Xiang Zhong Shi Bie Duo Wei Shu Men Pai Hao De PyTorchShi Xian Fang An ,Shi Yong De Shu Ju Ji Wei SVHN,Lai Yuan Yu Gu Ge Jie Jing Men Pai Hao Ma ,Mei Zhang Tu Pian Zhong Bao Han Yi Zu 0-9De A La Bo Shu Zi ,Jing Ce Shi Jing Que Du Ke Da 89%
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.
Ti Gong Liao Yi Ge Jie Jing Zi Fu Bian Ma Shi Bie Fang An Yi Gong Can Kao
Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch
Classification of house numbers
An Exploration of Machine Learning Methods on SVHN Dataset
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
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.
Self-training variants using PyTorch
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