ruitao-terry Goto Github PK

-

研学社

3d_model_reconstruction_demo

Implementation of the 3D reconstruction pipeline optimized for plant branching structures.

3dbie-solarpv

abaqus

abaqus_subroutines

Viscoplastic UMAT and rotational body force UEL

ai-models

aimodel-earthscience

Some AI model in earth science

amfnet

ample

AMPLE - A Material Point Learning Environment

autofeatselect

A python library to automate feature selection process for machine learning projects.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-remote-sensing-foundation-models

bigquery-openstreetmap

bigquery-openstreetmap

building-detection-maskrcnn

Building detection from the SpaceNet dataset by using Mask RCNN.

buildingheightmodel

caelus-cml

A fork of https://bitbucket.org/appliedccm/caelus-cml/ for a summer project.

cafht

Official Implementation of CAFHT

ccdg

Conditional Contrastive Domain Generalization For Fault Diagnosis

cemfdem

cemfDEM: a dem simulation code

changeclip

clustering-in-python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

code-for-image-fusion

This repository will list some codes of image fusion, including infrared and visible image fusion, medical image fusion, multi-focus image fusion, and multi-exposure image fusion.

computational-plant-root

Use geometric computing to study the growth of plant root

computational_acoustics

Collection of Jupyter notebooks illustrating various techniques in computational acoustics

cropland-expansion-in-globalpas

cs229-machine-learning-solar-energy-predictions

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

dannet

(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation