Exercises from IT3030 V20
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Updated
Oct 26, 2020 - Python
Exercises from IT3030 V20
Deep generative models using Generative Adversarial Networks(GANs).
Comparison of standard autoencoder and variational autoencoder (VAE) as deep generative models
Deep Generative Models with clean and well-annotated PyTorch re-implementation
PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."
Deep Generative Models Course Page @ Sharif University of Technology
Implementation of NICE (Non-linear Independent Components Estimation) in TF Keras
This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.
PyTorch Implementations of Popular Deep Generative Models.
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks
Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module
The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.
This is the official implementation of RL-Chord (TNNLS).
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
A PyTorch Implementation of Convolutional Conditional Neural Process.
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
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