Name: Cong Xiao
Type: User
Company: Delft University of Technology
Bio: Short CV:
2013-2016, M.Sc. in Oil & Gas Field Development Engineering at China University of Petroleum,Beijing,China
2016-Present, Ph.D in Applied Mathematics
Location: Delft, The Netherlands
Blog: https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathematics/mathematical-physics/people/x-cong/
Cong Xiao's Projects
Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.
Danqi Chen's PhD Thesis
Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.
Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"
Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)
variational u-net for uncertainty quantification (cs231n project)
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Volve dataset. Reservoir model and simulation results
A generative model conditioned on shape and appearance.
This is the release repository for the Weather Research and Forecasting Model