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Name: Daniel Hopp
Type: User
Company: UNCTAD
Bio: Berlin-based data scientist and statistician working at the UN.
Location: Geneva
Name: Daniel Hopp
Type: User
Company: UNCTAD
Bio: Berlin-based data scientist and statistician working at the UN.
Location: Geneva
Russian port data, from UNGP AIS dataset
Practicing Julia ML techniques with Kaggle competition: https://www.kaggle.com/c/ashrae-energy-prediction/
Collection of useful tools for binary classification problems (F1 score, etc.).
Time series analysis of copper prices
Report on status of COVID-19 worldwide
Dynamic factor models for Julia. Adapted from [Bok et al. 2017](https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr830.pdf)
grabbing data from google trends on certain words and loading into my postgres database
A Cluster Computing System for Processing Large-Scale Spatial Data
Dplyr-like syntax for DataFrames.jl
Simple scripts to get latitudinal and longitudinal coordinates of addresses from a CSV file, and visualize those journeys on a map.
Keras translator for short sentences with limited, specialized vocabulary
Create a Telegram chatbot powered by an LLM
Create and run a local LLM with RAG
Experimenting with map of Berlin with ArcGIS
Julia MF recommender using the Recommendation package
Collection of tools useful for data cleaning using DataFrames.jl
New York City Fare Prediction Kaggle Competition https://www.kaggle.com/c/new-york-city-taxi-fare-prediction
Practicing ML techniques with Scala
Collection of NLP tools for processing and analyzing text data.
LSTM neural networks for nowcasting economic data.
MATLAB wrapper for nowcast_lstm python package
Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.
R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
Julia wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
Predict the GDP and potentially other metrics of cities based on satellite images of them
Create a Telegram bot for image generation
R function to find best model to fit a time series dataset
Code for the 2023 UN Datathon workshop - day 1
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.