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Name: Bisrat Haile
Type: User
Company: CIMMYT
Location: Addis Ababa, Ethiopia
Name: Bisrat Haile
Type: User
Company: CIMMYT
Location: Addis Ababa, Ethiopia
code and supplementary material for the paper titled "Adoption of Climate-Resilient Groundnut Varieties Increases Agricultural Production, Consumption, and Smallholder Commercialization in West Africa"
Material and note of the course of Applied ML in Python
A curated list of awesome Machine Learning frameworks, libraries and software.
This GitHub repository hosts the complete codebase used in the research paper "Behavioural Factors Matter for the Adoption of Climate-Smart Agriculture."
Replication code and downloadable example data sets for The Effect
Starter files, final projects and FAQ for my Complete JavaScript course
Lectures for Udemy - Complete Python Bootcamp Course
COMS W4995 Applied Machine Learning - Spring 19
Crop Yield Prediction with Deep Learning
My CV built using RMarkdown and the pagedown package.
Data Analysis Using Python
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
DEPONS model v.1.1: Simulating effects of disturbances on harbour porpoises in the North Sea
Generate Diverse Counterfactual Explanations for any machine learning model.
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.
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.
The repository contains the code and supplementary material for the paper titled "Extension typologies and sustainable intensification: Evidence from West Africa"
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
A curated list of resources focused on Machine Learning in Geospatial Data Science.
The ggplot2 book
Teaching materials for the R package ggplot2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Fit interpretable models. Explain blackbox machine learning.
An Introduction to Statistical Learning with Applications in R
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Custom Jupyter Notebook Themes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.