jmathur25 / predicting-poverty-replication
A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
☆85Updated last year
Alternatives and similar repositories for predicting-poverty-replication:
Users that are interested in predicting-poverty-replication are comparing it to the libraries listed below
- ☆110Updated last year
- Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information☆82Updated 2 years ago
- Deep learning courses and projects☆97Updated 6 years ago
- Combining satellite imagery and machine learning to predict poverty☆456Updated 5 years ago
- Code and data to support our paper☆74Updated 2 years ago
- Poverty Prediction by Combination of Satellite Imagery☆42Updated 4 years ago
- Open source remote sensing dataset with benchmarks☆182Updated 10 months ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆85Updated last year
- Code for constructing the urban environments dataset and for land use classification via convolutional neural networks☆114Updated 6 years ago
- ☆55Updated 5 years ago
- A series of Jupyter notebook to learn Google Earth Engine with Python☆284Updated 8 months ago
- List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)☆81Updated this week
- ☆47Updated 3 years ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆87Updated 2 years ago
- Experiments with satellite image data☆121Updated 5 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆93Updated 3 years ago
- ☆22Updated 2 years ago
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆137Updated 4 years ago
- A set of tools for working with Google Earth Engine Python API in Jupyter notebooks☆63Updated 4 months ago
- Earth Observation dataset preprocessing tools for Deep Learning☆38Updated 6 months ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆194Updated 3 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆60Updated 3 years ago
- ☆8Updated 6 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 6 years ago
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆105Updated 3 years ago
- Tutorials for spatial data processing and analysis in R and Python☆43Updated 5 years ago
- crop classification using deep learning on satellite images☆110Updated 4 years ago
- Corn Soy Data Layer☆13Updated 2 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆66Updated 4 years ago
- Tutorial of fundamental remote sensing and GIS methodologies using open source software in python☆326Updated 2 years ago