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  • ๐Ÿ‘‹ Hi, Iโ€™m @T-shirtGuy
  • ๐Ÿ‘€ Iโ€™m interested in the application of computer vision in GIS
  • ๐ŸŒฑ Iโ€™m currently learning machine learning and urban palnning
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on air quality management in cities
  • ๐Ÿ“ซ How to reach me ...

t-shirtguy's Projects

awesome-gis icon awesome-gis

๐Ÿ˜ŽAwesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

blendergis icon blendergis

Blender addons to make the bridge between Blender and geographic data

cgnn icon cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

detr icon detr

End-to-End Object Detection with Transformers

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

lihang-code icon lihang-code

ใ€Š็ปŸ่ฎกๅญฆไน ๆ–นๆณ•ใ€‹็š„ไปฃ็ ๅฎž็Žฐ

mgwr icon mgwr

Multiscale Geographically Weighted Regression (MGWR)

osmnx icon osmnx

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

prettymaps icon prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

pygwr icon pygwr

Geographically Weighted Regression (GWR) in Python

pyqtgraph icon pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

pysplit icon pysplit

A package for HYSPLIT air parcel trajectory analysis.

pytorch-softdtw-cuda icon pytorch-softdtw-cuda

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba

transformer-mm-explainability icon transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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