Comprehensive automatic differentiation in C++
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Updated
Jun 12, 2024 - C++
Comprehensive automatic differentiation in C++
A versatile python framework for tomographic imaging
R-codebase for a scientific research article, titled "The TruEnd-procedure: Treating trailing zero-valued balances in credit data"
PyPSA: Python for Power System Analysis
A package for the optimisation of numerical responses
A modular minifier, built on top of the PostCSS ecosystem.
A multiplicative rating model for football written in Python
A multi-scale energy systems modelling framework
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Linear optimization with N-D labeled arrays in Python
A Julia package for consensus-based optimisation
A Julia package for consensus-based optimisation
Blue Brain Python Electrical Modeling Pipeline
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
MiniZinc ↔ .NET
A long list of .NET (micro) optimizations I've picked up along my development journey ranging from easy method overloads, to niche IL manipulation.
A derivative-free solver for general nonlinear optimization.
Optimization functions for Julia
Evaluating the strategies and selecting the best suitable strategy for implementing I4.0 in Industries with MCDM method (FAHP).
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
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