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Bisrat Haile 's repositories

RepositoryForBBNPaper

Repository for Modeling Intensification decision in Kilombero Valley Floodplain: A Bayesian Belief Network Approach

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Adoption-of-Climate-Resilient-Groundnut-Varieties

code and supplementary material for the paper titled "Adoption of Climate-Resilient Groundnut Varieties Increases Agricultural Production, Consumption, and Smallholder Commercialization in West Africa"

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behavioural-factors-and-adoption-of-CSA

This GitHub repository hosts the complete codebase used in the research paper "Behavioural Factors Matter for the Adoption of Climate-Smart Agriculture."

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causalbook

Replication code and downloadable example data sets for The Effect

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complete-javascript-course

Starter files, final projects and FAQ for my Complete JavaScript course

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COMS4995-s19

COMS W4995 Applied Machine Learning - Spring 19

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crop_yield_prediction

Crop Yield Prediction with Deep Learning

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cv

My CV built using RMarkdown and the pagedown package.

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Data-Analysis

Data Analysis Using Python

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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deep-transfer-learning-crop-prediction

Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.

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DEPONS

DEPONS model v.1.1: Simulating effects of disturbances on harbour porpoises in the North Sea

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DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

MIT000

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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Extension-system-typologies-and-climate-smart-agriculture-in-West-Africa

The repository contains the code and supplementary material for the paper titled "Extension typologies and sustainable intensification: Evidence from West Africa"

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FarmTypolgyV5

Farm typology of farmers in Kilombero Valley floodplain. Using a combination of PCA, K-Means clustering and Hierarchical clustering farmers are classified in to three different groups

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