ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
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Updated
Jun 10, 2024 - Fortran
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Practical volume computation and sampling in high dimensions
An open-source JAX-based statistical sampling toolkit 🧪
Surrogate Modeling Toolbox
Effective frame sampling for ML applications.
Select, weight and analyze complex sample data
C/C++ Performance Profiler
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
🚨 slog sampling: drop repetitive log records
Worflow for literature character personality profiling 📚 which is solely relies on book content 📕
Wildly unsound and experimental sampling for ComfyUI
MlFlow Project creating pipelines and using Grid-Search Cross Validation to find optimal parameters for Old School Runescape Machine Learning datasets.
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
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