hulaba

2021_Nkwasa_etal_HESS

Scripts used to incorporate global phenology datasets into regional-global SWAT+ models

Artificial-Intelligence-in-Agriculture-Diseased-Leaf-Classification

AI is steadily emerging and making a significant impact in various sectors such as education, healthcare, transportation, finance, manufacturing, agriculture and many more. Agriculture Industry - the mainstay profession in numerous countries worldwide is also turning towards artificially intelligent technologies to enhance crop yield productivity while utilizing resources more sustainably, control pest infestations, monitoring soil and crop health, precision farming and predictive analytics.

awesome-neural-rendering

A collection of resources on neural rendering.

Context-Aware-Representation-Crop-Yield-Prediction

Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis

Crop-Segmentation-and-Yield-Count-using-Graph-based-approach

With the given a set of images of the Arecanuts yield, count the number of Arecanuts available in each bunch and based on the count obtained from each bunch, estimate the total number of nuts available from the yield using efficient Graph Based approach.

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

crop-type-mapping-1

Crop type mapping of small holder farms in Ghana, and South Sudan

Crop-Yield-Estimation-Model

Random forest regression yield estimation model with genetic algorithm-based feature selection.

Crop-Yield-Prediction-Comparison-using-ML-DL-Techniques

In this project, we compare and predict the yield of five crops (wheat, barley, jowar, rapeseed & mustard, and bajra) in Rajasthan (district-wise) using three machine learning techniques: random forest, lasso regression and SVM, and two deep learning techniques: gradient descent and RNN LSTM. To apply the models to our data, we divided it into training and testing datasets. Each model is tested twice: once with only "area" and "production" in mind, and then again with additional factors (rainfall and soil type) in mind to predict crop yield. To find the model that most accurately predicts the yield, R2 score, Root Mean Squared Error (RMSE) and Mean Average Error (MAE) are calculated for each model.

Salinas-dataset-Classification

This data set comes from Hyperspectral Remote Sensing Scenes

hulaba/tiny-cuda-nn

Lightning fast & tiny C++/CUDA neural network framework

hulaba/WheatDetection_EdgeTPU

Wheat Detection + Edge Device for Agrobot

hulaba/100-Days-Of-ML-Code-1

100-Days-Of-ML-Code中文版

hulaba/ALS4GAN

Active Learning for Improved Semi Supervised Semantic Segmentation in Satellite Images

hulaba/Automold--Road-Augmentation-Library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

hulaba/BERT-CCPoem

BERT-CCPoem is an BERT-based pre-trained model particularly for Chinese classical poetry

hulaba/CLIP-rsicd

hulaba/cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

hulaba/cotton-phenology-dataset

hulaba/Crop-Type-Mapping-2

Machine Learning Algorithms based Crop Type Mapping in North-Western part of Bangladesh using Google Earth Engine (GEE) and Python

hulaba/DART

Data Assimilation Research Testbed

hulaba/documentation

Some GIS and development documentation

hulaba/dogs-vs-cats-benchmark

Benchmarking Azure Machine Learning Services for training a model with GPU and PyTorch. Full post at Medium

hulaba/early-stopping-pytorch

Early stopping for PyTorch

hulaba/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hulaba/gis-application-development

Syllabus and workshops for a graduate course in application development focusing on GIS and geospatial applications.

hulaba/HUST_Badminton_Booking_Script

华中科技大学专用羽毛球场地预约脚本。本简易脚本仅用作个人娱乐用途。

hulaba/ml-equivariant-neural-rendering

hulaba/Multiple_years_yield_prediction

Multiple years' yield prediction based on soil, weather and UAV image data.

hulaba/nerf

Code release for NeRF (Neural Radiance Fields)

hulaba/pyGIS

pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --

hulaba/Python-100-Days-1

Python - 100天从新手到大师

hulaba/Python-Notebooks

All Jupyter and Colab Notebooks are here

hulaba/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

hulaba/sea-ice-phenology

Sea Ice Phenology Detection Developed by the ICE Remote Sensing Lab at University of Victoria (UVic)

hulaba/Sustainability-GIS

Site for "Spatial Data Science for Sustainable Development" course at the Dept. Built Environment, Aalto University

hulaba/VisualStats

R package for visualizing statistical tests

hulaba/Yield_prediction

Pixel-based yield regression models trained on optical satellite images and soil parameters.

hulaba/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

hulaba/zh-google-styleguide

Google 开源项目风格指南 (中文版)