hendrikmahlkow

hendrikmahlkow's Stars

• patrick-zippenfenig/us-with-german-umlauts

  Mac U.S. keyboard layout with German Umlauts

  15625

• ksreyes/mrio-processing

  Scripts for processing the ADB MRIO tables

  Language:Python83

• Cinnamon/kotaemon

  An open-source RAG-based tool for chatting with your documents.

  Language:Python13.4k997

• paperless-ngx/paperless-ngx

  A community-supported supercharged version of paperless: scan, index and archive all your physical documents

  Language:Python19.6k1.1k

• borusyak/are213

  PhD Applied Econometrics class taught at UC Berkeley

  20965

• LucasOsco/AI-RemoteSensing

  Language:Jupyter Notebook17128

• acclimate/acclimate

  Acclimate - an agent-based model for economic loss propagation

  Language:C++346

• TheEconomist/the-economist-war-fire-model

  Source code and data for The Economist's Ukraine war-fire model

  Language:R23927

• hendrikmahlkow/gpt4all

  gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

  1

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python53.8k7.2k

• amrei-stammann/alpaca

  An R-package for fitting glm's with high-dimensional k-way fixed effects

  Language:R436

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.4k478

• rodmoioliveira/football-graphs

  Graphs and passing networks in football.

  Language:HTML11016

• aditya-grover/climate-learn

  Source code for ClimateLearn

  Language:Jupyter Notebook30249

• opengeos/geospatial-data-catalogs

  A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

  Language:Jupyter Notebook51839

• microsoft/RoadDetections

  Road detections from Microsoft Maps aerial imagery

  52926

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k467

• Talophex/PITA

  PredictIt Tracking and Analysis

  Language:Python176

• flexport/flexport-earth

  Bringing you the facts of global trade

  Language:TypeScript69

• MichaelKreil/windradabstand

  Kompletter Code, um die interaktive Windrad-Abstandskarte zu generieren

  Language:JavaScript291

• paperswithcode/galai

  Model API for GALACTICA

  Language:Jupyter Notebook2.7k276

• paulofelipe/cp2015

  Caliendo and Parro (2015) quantitative trade model in R.

  Language:R83

• ingaheiland/FelbermayrGroeschlHeilandJIE2022

  Language:Stata2

• g-dolphin/WorldCarbonPricingDatabase

  Language:Python6727

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k445

• nasaharvest/cropharvest

  Open source remote sensing dataset with benchmarks

  Language:Jupyter Notebook16339

• rmcelreath/causal_salad_2021

  One day course on causal inference, MPI-EVA 9 September 2021

  Language:R24370

• olugovoy/climatedice

  Language:GAMS4423

• VKudlay/GEGravity

  GEGravity implementation in R

  Language:Stata53

• jonnyhyman/Chaos

  Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

  Language:Python1.8k308