pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
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Updated
Sep 8, 2022 - Python
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
Complete implementation of Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks article
Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
Spectral Normalization and Projection Discriminator
Leveraging advanced image processing and deep learning, this project classifies plant images using a subset of the Plant Seedlings dataset. The dataset includes diverse plant species captured under varying conditions. This project holds significance within my Master's in Computer Vision at uOttawa (2023).
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