jn-jia

Distribution-learning

Pytorch Implementation of Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment

TS-CAM

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

predictive-coding-recovers-maps

GradientGuidedNetwork

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

snorkel

A system for quickly generating training data with weak supervision

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

multiple-cameras-and-3D-LiDARs-extrinsic-calibration

This repo contains source code of our paper presented in IROS2021 "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs"

LDConv

Thrush-Spatial-Regression-Modeling

This script looks to account for spatial autocorrelation in a spatial regression modeling through various methods, including trend surface modeling and eigenvector mapping!

spatialRF_talk

Talk about incorporating spatial autocorrelation into random forest models

TPML

The method puts forward a new way to integrate the spatial autocorrelation law and property similarity principle into one in a unified machine learning method.

spar

Spatial Autocorrelation and Regression

spatial-autocorrelation

A spatial autocorrelation to study home intrusions

mgwrsar

:exclamation: This is a read-only mirror of the CRAN R package repository. mgwrsar — GWR and MGWR with Spatial Autocorrelation

spatialAutocorrelation

Reducing spatial autocorrelation in Species Distribution Models

FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

geollm

GeoLLM

EarthVQA

[AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

LLM-Geo

DConvLSTM

Areal-Interpolation

Data-Analysis

史上最全Python数据分析资料

pykan

Kolmogorov Arnold Networks

raster-deep-learning

ArcGIS built-in python raster functions for deep learning to get you started fast.

Dasymetric_mapping_using_GRASSGIS

Python script (Jupyter notebook) for modeling of population densities

graph-super-resolution

[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution

population_estimation

[SC2023] POMELO: Fine-grained Population Mapping from Coarse Census Counts and Open Geodata