https://github.com/bjodah/bjodahimgbase
Personal base docker image based on Ubuntu 14.04
https://github.com/bjodah/chemreac
Library for chemical kinetics in homogeneous or isotropically symmetric inhomogenous systems.
https://github.com/bjodah/bjodahimg16dev-dockerfile
Xenial derived image for scientific computing with conda (conda-forge) packages
https://github.com/bjodah/bug-reproducer-llamacpp-partial-parse
Ephemeral repository for reproducing uncaught exception in llama.cpp's llama-server exectuable.
https://github.com/bjodah/anfilte
Helper scripts for working with the Dockerimage: condaforge/linux-anvil
https://github.com/bjodah/bjodahimg16volatile-dockerfile
Docker image with based on bjodahimg16base
https://github.com/bjodah/quad-braille-unicode-progress
4 vertically stacked progress bars in one line of unicode characters
https://github.com/bjodah/odes
The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
https://github.com/bjodah/local-aider
Proof-of-concept Aider w. local (24GB vram) QwQ+Qwen2.5-Coder using litellm-proxy / llama-swap / llama.cpp
https://github.com/bjodah/bjodahimg16base-dockerfile
Xenial derived baseimage for scientific computing
https://github.com/bjodah/sundials
SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are not currently accepted, but bug reports and questions are welcome at sundials-users@llnl.gov. For more info visit https://computation.llnl.gov/projects/sundials
https://github.com/bjodah/ifopt
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
https://github.com/bjodah/fpplus
Scientific library for high-precision computations and research
https://github.com/bjodah/amici
Advanced Multilanguage Interface to CVODES and IDAS
https://github.com/bjodah/accupy
:dart: Accurate sums and dot products for Python.
https://github.com/bjodah/3dmol.js
WebGL accelerated JavaScript molecular graphics library
https://github.com/bjoernbiltzinger/threeml-1
The Multi-Mission Maximum Likelihood framework (3ML)