DeepGTT: Learning Travel Time Distributions with Deep Generative Model
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Updated
Mar 25, 2019 - Jupyter Notebook
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks
A PyTorch Implementation of Convolutional Conditional Neural Process.
PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."
PyTorch Implementations of Popular Deep Generative Models.
Materials of the Nordic Probabilistic AI School 2019.
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
Deep generative models using Generative Adversarial Networks(GANs).
Implementation of NICE (Non-linear Independent Components Estimation) in TF Keras
Exercises from IT3030 V20
A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Materials of the Nordic Probabilistic AI School 2021.
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
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