倉庫
A Jupyter project that demonstrates how to access local data from OpenStreetMap to improve your ML models. Demonstrates the use of K-D Trees to turn data into features.
CY-Bench (Crop Yield Benchmark) is a comprehensive dataset and benchmark to forecast crop yields at subnational level. CY-Bench standardizes selection, processing and spatio-temporal harmonization of public subnational yield statistics with relevant predictors. Contributors include agronomers, climate scientists and machine learning researchers.
This repository contains an implementation of Auto Registration Tool, which processes a batch of LANDSAT images and performs Geo-Registration on them.
Endless headaches dont touch this
Code for "The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter"
Pytorch Bayesian UNet model for segmentation and uncertainty prediction
Exercises from Programming Computer Vision with Python
Cassandra NoSQL + Bokeh + Prophet for stock time series analysis
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
The Clay Foundation Model (in development)
Course Files for Complete Python 3 Bootcamp Course on Udemy
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Data Analysis Using Python
Notebooks related to Deep Learning Experiments
Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book
Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification