Pinned Repositories
Distance-Based-Model-Selection
geog5330
Applied Spatial and Spatiotemporal Analysis
geog5330-fall2017
Geog5330 for Fall 2017
geog5330-fall2018
Geog5330 at Texas Tech: Applied Spatial and Spatiotemporal Analysis
Papers-on-deep-learning-for-video-analysis
Share a list about some papers about deep learning for video analysis
summer2018-cug
Thesis
Super Resolution of Images using Deep Learning for Satellite Imagery
surfcao's Repositories
surfcao/18337
18.337 - Parallel Computing and Scientific Machine Learning
surfcao/astd
surfcao/atsar
Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
surfcao/axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
surfcao/ConditionalNeuralProcess
Conditional Neural Process
surfcao/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
surfcao/deepgeostat
Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"
surfcao/DLACs
A library designed to implement deep learning algorisms to climate data for weather and climate prediction.
surfcao/funsor
Functional tensors for probabilistic programming
surfcao/google-research
Google Research
surfcao/IGNNK
surfcao/Image-Super-Resolution-via-Iterative-Refinement
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
surfcao/metnet
PyTorch Implementation of Google Research's MetNet (https://arxiv.org/abs/2003.12140), inspired from https://github.com/tcapelle/metnet_pytorch/tree/master/metnet_pytorch
surfcao/metnet_pytorch
A MetNet implementation in Pytorch and fastai
surfcao/mlflow-stan
MLFlow with cmdstanr
surfcao/MODIS_GlobalFloodDatabase
This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.
surfcao/neural-function-distributions
Pytorch implementation of Generative Models as Distributions of Functions 🌿
surfcao/neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
surfcao/odin
A simple and effective method for detecting out-of-distribution images in neural networks.
surfcao/playa-inundation
Exploring and modeling Playa Lake inundation
surfcao/pscgan
surfcao/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
surfcao/san
Spatial Analysis Notes
surfcao/shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes
surfcao/sits
Satellite image time series in R
surfcao/Spatial
GIS and Spatial Analysis lecture notes
surfcao/stumpy
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
surfcao/timeseers
Time should be taken seer-iously
surfcao/torchgeo
TorchGeo: datasets, transforms, and models for geospatial data
surfcao/VimMode.spoon
Adds vim keybindings to all OS X inputs