zhwang0

satellite-image-super-resolution

HighResCanopyHeight

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

carbon-twin

Temperature_GraphSAGE

Auto-CM

Code for paper: Xie, Y., Li, Z., Bao, H., Jia, X., Xu, D., Zhou, X. and Skakun, S., 2023, June. Auto-CM: Unsupervised deep learning for satellite imagery composition and cloud masking using spatio-temporal dynamics. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 12, pp. 14575-14583)

Hydrology-Baseflow

PGRGrN_Flow_Temperature

PG-AN

Code for paper: Physics Guided Neural Networks for Time-aware Fairness: An Application in Crop Yield Prediction. AAAI 2023.

STAR

Code for learning with data heterogeneity (ICDM'21 Best Paper Award)

PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

pytorch-transformer

Attention is all you need implementation

PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

GFNet

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

zotero-actions-tags

Customize your Zotero workflow.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

fair-ai-in-space

Code for paper: Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework. AAAI 2022.

geetools-code-editor

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

invertible_neural_networks

Normalizing-flow Invertible Neural Networks (TensorFlow2+Keras)

Dive-into-DL-TensorFlow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

GAN-argcPredNet

GAN-argcPredNet v1.0: A Generative Adversarial Model for Radar Echo Extrapolation Based on Convolutional Recurrent Units

AlphaTree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

PERSIANN-CCS-CDR

PERSIANN-CCS-CDR

TiSeLaC-ECMLPKDD17

TiSeLaC ECML/PKDD 2017 discovery challenge solution

RefTools

文献管理软件的使用与配置

SIAC

A sensor invariant Atmospheric Correction (SIAC)

train-crfasrnn

Detailed guide to help you understand how to train CRF as RNN

CRFasRNNLayer

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)