ZZKnight

climada_papers

duckdb-fema-nfip

Analyzing FEMA's National Flood Insurance Program (NFIP) Data With DuckDB.

fema-nfip-nyc

Exploring National Flood Insurance Program (NFIP) Data for New York City.

graphcast

Project-3_IPC-SHM2020

awesome-multi-task-learning

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Basic-Multi-task-Learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

PyDimension

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

A-Bio-marker-using-Topological-Machine-Learning-of-rs-fMRI

GeostatsPy

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

cutESC

CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs

ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

DBSCAN

Implementation of DBSCAN Algorithm in Python.

gdbscan

Generalized DBSCAN

pygeoda

pygeoda is a python library for spatial data analysis based on C++ libgeoda

geoscan

Geospatial clustering at massive scale

geoda

GeoDa: An introduction to spatial data analysis

pix2pix

Image-to-image translation with conditional adversarial nets

CSE6242-Data-Visualization-and-Analysis

Homework for CSE 6242

PDE-Extraction

StiffNet-Benchmark

Benchmark for learning stiff problems using physics-informed machine learning

smop

Small Matlab to Python compiler

LeetCode

:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）

NLPOD

Nonlinear proper orthogonal decomposition for convection-dominated flows

3D-printed-mirror-array

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

EnergyPlus

KalmanNet_TSP

code for KalmanNet

Kalman-RNN

Efforts to emulate the dynamics of Kalman filtering on 9-axis IMU data from an Android device with a recurrent neural network.

deep-learning-notes

Experiments with Deep Learning

one_vs_two_doses