A Python library for efficient feature ranking and selection on sparse data sets.
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Updated
Jul 16, 2024 - Python
A Python library for efficient feature ranking and selection on sparse data sets.
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
Skin diseases can be detected and classified through Deep Learning techniques. In this project Deep CNN network is built on top of EfficientNetB3 for image classification.
a framework for training sequence-level deep learning networks
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
A class-leading water system implemented in Unity
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
MCMC sample analysis, kernel densities, plotting, and GUI
Sampling methods for data streams
Public version of PolyChord: See polychord.co.uk for PolyChordPro
An open-source JAX-based statistical sampling toolkit 🧪
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
Extensions for Random to help you generate random content. IMPORTANT: this library was designed for use in games; no effort has been made to make these methods cryptographically secure.
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.
Se realiza el diseño de muestreos; Simulación de Cómputos distritales INE 2021, Estimación basada en muestras probabilísticas, Estimador Horvitz-Thompson, intervalos de confianza, muestreos Unietapicos, Muestreo Bietapico, Estimación de una encuesta Multietapa de la ENVI 2020.
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Simulate a fisheries creel survey.
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