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.
-
Updated
Mar 24, 2023 - Jupyter Notebook
#
svhn-dataset
Here are 36 public repositories matching this topic...
Official adversarial mixup resynthesis repository
mnist-dataset representation-learning unsupervised-learning autoencoders acai celeba-dataset mixup kmnist svhn-dataset adversarial-mixup-resynthesis
-
Updated
Feb 14, 2020 - Python
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.
-
Updated
Jul 10, 2026 - Python
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.
deep-learning metrics pytorch generative-adversarial-network gan dcgan generative-model evaluator generation evaluation-metrics evaluation-framework fid pytorch-gan pytorch-implmention gan-evaluation inception-score fid-score torchvision svhn-dataset frechet-inception-distance
-
Updated
Apr 11, 2023 - Python
Pytorch implementation of homework 2 for VRDL course in 2021 Fall semester at NYCU.
-
Updated
Nov 29, 2021 - Python
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.
deep-learning university-project pytorch convolutional-neural-networks residual-networks svhn-classifier squeeze-and-excitation svhn-dataset
-
Updated
Feb 8, 2019 - Python
Homeworks from CS294-158-19 (Deep unsupervised learning) implemented in Pytorch
flow pytorch gan vae svhn wgan variational-autoencoder wasserstein-gan pytorch-implementation iwae svhn-dataset cs294-158
-
Updated
Jun 1, 2020 - Python
-
Updated
Sep 6, 2019 - Python
An Exploration of Machine Learning Methods on SVHN Dataset
-
Updated
Jun 18, 2021 - Python
Classification of house numbers
-
Updated
Jul 15, 2025 - Jupyter Notebook
An implementation of a Convolutional VAE on the SVHN dataset.
-
Updated
Apr 25, 2019 - Python
-
Updated
Mar 28, 2019 - Jupyter Notebook
Convolutional Neural Network created using Keras with tensorflow backend. Machine learning model used to predict the digit on a photo.
python machine-learning deep-neural-networks deep-learning tensorflow evaluation keras classification convolutional-neural-networks digit-recognition svhn-dataset
-
Updated
May 27, 2020 - Python
-
Updated
Jan 29, 2019 - Jupyter Notebook
Second Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University. Quick access to Jupyter notebook at the link below:
-
Updated
May 16, 2021 - Jupyter Notebook
-
Updated
Jan 19, 2021
Numerical Digit Detection and Classification on SNVH Dataset
machine-learning deep-learning neural-network pytorch convolutional-neural-networks yolov3 svhn-dataset detection-classification
-
Updated
May 29, 2025 - Python
Using attention for sequence classification for multi-character prediction
deep-learning attention-mechanism captcha-recognition svhn-dataset multi-digit-classification captcha-dataset
-
Updated
Feb 9, 2022 - Jupyter Notebook
A project constructing an image representation model via unsupervised and self-supervised learning.
-
Updated
Jun 16, 2021 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the svhn-dataset topic, visit your repo's landing page and select "manage topics."