nathalienf Goto Github PK
Name: Nathalie Forest
Type: User
Bio: Economics & Climate Change
Location: York, UK
Name: Nathalie Forest
Type: User
Bio: Economics & Climate Change
Location: York, UK
**Deep learning for multi-year ENSO forecasts** 复现工作相关代码、数据
Source code for writing an RMarkdown article for an Elsevier journal
Data and code for: Measuring the Macroeconomic Impact of Carbon Taxes
Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.
R script for reading in and analyzing CPI inflation data
Data on Brazilian banks and other regulated financial institutions
CRAN Task View Initiative
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Projects related to the World Bank's Debt Statistics
A deep learning model for Financial Signal Representation and Trading
Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones
Data and replication code for the paper "The Economic Impact of Schistosomiasis"
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
Detrending and modeling of NOAA precipitation climate data.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Standardization logic for Food Balance Sheets
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Fixed-effects estimations
A model to construct a Food Security Risk Index (FSRI) based on data of population, Climate, Trade/Economics, and Food stress index to provide a possible solution to predict food security.
This code mainly computes the forecast of headline inflation using different aproaches. Likewise presents the forecast evaluation for each model along different points in a span period.
Forecasting Inflation in a data-rich environment: the benefits of machine learning methods
This repo includes an R project to link data on FAOSTAT website (API) to the aglu/FAO folder in gcamdata. The project aims to provided traceable FAO data processing and transparent assumptions.
ggplot2: elegant graphics for data analysis
Studio Ghibli colour palettes
A machine learning library for economics and finance
A machine learning library for economics and finance
Google Drive R API
"LESSONS FROM PREDICTING GROWTH AND RECESSIONS"
:exclamation: This is a read-only mirror of the CRAN R package repository. GVARX — Perform Global Vector Autoregression Estimation and Inference
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.