Dion Häfner (dionhaefner)

dionhaefner

Geek Repo

Company:@pasteurlabs | Niels Bohr Institute

Location:Malmö

Home Page:dionhaefner.github.io

Twitter:@dionhaefner

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Dion Häfner's starred repositories

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

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PySR

High-Performance Symbolic Regression in Python and Julia

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mpire

A Python package for easy multiprocessing, but faster than multiprocessing

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meshio

:spider_web: input/output for many mesh formats

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ngboost

Natural Gradient Boosting for Probabilistic Prediction

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imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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PhiFlow

A differentiable PDE solving framework for machine learning

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eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

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jax-cfd

Computational Fluid Dynamics in JAX

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SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

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devito

DSL and compiler framework for automated finite-differences and stencil computation

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dedalus

A flexible framework for solving PDEs with modern spectral methods.

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optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

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Fusion360GalleryDataset

Data, tools, and documentation of the Fusion 360 Gallery Dataset

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mlx-data

Efficient framework-agnostic data loading

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JAXFLUIDS

Differentiable Fluid Dynamics Package

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catanatron

Settlers of Catan Bot Simulator and Strong AI Player

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coax

This project was moved to: https://github.com/coax-dev/coax

swyft

A system for scientific simulation-based inference at scale.

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jaxdf

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

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causal_learning_unknown_interventions

Code for "Neural causal learning from unknown interventions"

jax_fdm

Auto-differentiable and hardware-accelerated force density method

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github-copilot-cli.fish

Make GitHub Copilot CLI's alias work for Fish shell

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deepsphere-weather

A spherical CNN for weather forecasting

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PyALE

ALE Plots with python

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r3d

Fast, robust polyhedral intersections, analytic integration, and conservative voxelization.

pyOM2

Ocean model with fortran and python frontend

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