Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
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Optimising chemical reactions using machine learning
Safe Bayesian Optimization
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
Python package for image-based profiling
A library of mechanised undecidability proofs in the Coq proof assistant.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
SIMD enhanced Array operations
Astrophotography capture and processing
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Clipping and geometric operations for spherical polygons.
A strongly-typed genetic programming framework for Python
Coq Repository at Nijmegen [maintainers=@spitters,@VincentSe,@Lysxia]
:spider_web: Compute interesting points, areas, and volumes in simplex meshes of any dimension.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
:dart: Accurate sums and dot products for Python.
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
Cumo (pronounced like "koomo") is CUDA aware numerical library whose interface is highly compatible with Ruby Numo
Scientific library for the D programming language
The Mines Java Toolkit
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
Variations on Kirby & Paris' hydra battles and other entertaining math in Coq (collaborative, documented, includes exercises) [maintainer=@Casteran]
A set of protocols for Arithmetic, Statistics and Logical operations
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications