high-dimensional

#计算机科学#A Flexible and Powerful Parameter Server for large-scale machine learning

翻译 - 灵活而强大的参数服务器，用于大规模机器学习

Octree/Quadtree/N-dimensional linear tree

Implements "Clustering a Million Faces by Identity"

Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality

#计算机科学#A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big dat...

Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.

#计算机科学#A numerical library for High-Dimensional option Pricing problems, including Fourier transform methods, Monte Carlo methods and the Deep Galerkin method

Particle Swarm Optimization Visualization

#计算机科学#Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

[TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems

#计算机科学#DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity

#计算机科学#BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

Controlled Invariant Sets in Two Moves

Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks

Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net

SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples.

flameplot is a python package for the quantification of local similarity across two maps or embeddings.

#时序数据库#Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series

Video Input Generative Adversarial Imitation Learning