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
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Automated 3D brain registration with support for multiple species and atlases.
Data visualisation web components for the life sciences.
FastGenericNew: high-performance generic instantiation for .NET, replacing Activator.CreateInstance<
Type-safe dependency injection singleton wrapper with lazy init and generic constructor support
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
⚡ Open-source software for deep learning-based digital pathology
Python package for image-based profiling
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates
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:pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go
Astrophotography capture and processing
A tool for cell instance aware segmentation in densely packed 3D volumetric images
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
Swift library like numpy, playgrounds notebook like jupyter.
Axon/Myelin segmentation using Deep Learning
Clipping and geometric operations for spherical polygons.
A strongly-typed genetic programming framework for Python
Learning cell communication from spatial graphs of cells