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ETH Zurich
- https://mojmirmutny.github.io/
- @mutny_ml
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Python library for adaptive experiment design with state-of-art ML tools
A tool to optimize real world problems
A Python package for processing molecules with RDKit in scikit-learn
Experimental design and (multi-objective) bayesian optimization.
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Wide-Spectrum Enzyme-Substrate Interactions from Multi-Task Recommendations using Protein Language Models
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Apify command-line interface helps you create, develop, build and run Apify actors, and manage the Apify cloud platform.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Newton and Quasi-Newton optimization with PyTorch
A comprehensive library for computational molecular biology
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation