hulaba's repositories
__DL-prediction-on-earth-phenology
佳格天地比赛，时空序列预测，决赛top6方案
Advanced-House-Price-Prediction
It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics.
Beyond-Gradient-Descent
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
code_MSCP
Demo for MSCP which will be appeared on TGRS
Crop-Yield-Prediction-Using-CNN-LSTM-
Crop yield prediction on remote sensing data using CNN
CropYield-prediction
Predicting Crop Yield. [A college project]
deep_learning_algorithms
A basic non optimized algorithms for understand deep learning algorithms to help me to learn
GEE
Google Earth Engine python examples
gee_learning
some useful python scripts for google earth engine
generative-query-network-pytorch
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
GRUPoetry
The source codes of GRU model for Chinese poetry generation (CCL 2017).
HyperNetworks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
Hyperspectral-KNN-Classification
This work contains KNN classification of Hyperspectral Satellite Images using the given groundtruth and finding success rate of the method. You can download the hypersectral images using the link below :http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes&redirect=no#Pavia_University_scene
Identify-Crop-Phenology-using-Machine-Learning
Identify crop intensity of Bangladesh in 2010
Illinois-Corn-Yield-Prediction-Project
Illinois corn yield prediction project as part of undergraduate research in UCLA's Karen McKinnon lab.
IoT-Intrusion-Detection-System
Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine learning in this case CNN-LSTM is used together in component based architecture.
landcover_classification
Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰
numerical-computing-is-fun
Learning numerical computing with notebooks for all ages.
pybert
Repository for often used GIS, Development and Data Management utilities in a python module.
pytorch_simple_classification_baselines
Simple pytorch classification baselines for MNIST, CIFAR and ImageNet
recent_phenology
Recent NDVI change data from EMODIS for CONUS
remote-sensing-image-caption
remote sensing image classification and image caption by PyTorch
robosat_buildings_training
手把手教你如何使用 mapbox/robosat 工具，基于深度学习训练，从常规的遥感影像瓦片地图服务中自动提取建筑物。
RSD46-WHU
A 46-classes public dataset for remote sensing image scene classification.
RSSC-NAS
remote sensing scene classification - nerual architecture search
SccovNet
SccovNet for remote sensing scene image classification which accepted by TNNLS
scivis_tutorial_pycon2019
Repository for the PyCon Colombia 2019 tutorial on Scientific Visualization.
Semantic-segmentation
Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）
spatio-temporal-phenological-segmentation
Spatio-Temporal Vegetation Segmentation By Using Convolutional Networks