A Flexible and Powerful Parameter Server for large-scale machine learning
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Updated
Jan 16, 2024 - Java
A Flexible and Powerful Parameter Server for large-scale machine learning
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
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
Octree/Quadtree/N-dimensional linear tree
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 data intrinsic structure to your clustering and data visualization workflow.
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
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
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
[TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Controlled Invariant Sets in Two Moves
SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples.
Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
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
Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
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