Reverse Dependencies of KDEpy

The following projects have a declared dependency on KDEpy:

• bayesreconpy — Bayesian reconciliation for hierarchical forecasting
• ceffyl — Software to rapidly and flexibly analyse Pulsar Timing Array data via factorised likelihood methods (Lamb et al. 2023)
• clampsuite — Slice electrophysiology analysis package for analyzing mEPSCs, o/eEPSCs and current clamp data.
• crash-mapping-tools — Standalone tools for processing crash data
• CureQ — Library for analyzing MEA files.
• cytopy — Data centric algorithm agnostic cytometry analysis framework
• cytotools — A small package of utilities for analysis of cytometry data in Python
• dataheroes — DataHeroes - Build Better ML Models 10x Faster
• denseweight — The imbalanced regression method DenseWeight
• dont-fret — Analyze confocal solution smFRET data
• dynamo-release — Mapping Vector Field of Single Cells
• fastHDMI — Use fast FFT-based mutual information screening for large datasets. Works well on MRI brain imaging data. Developed by Kai Yang, [GPG Public key Fingerprint: CC02CF153594774CF956691492B2600D18170329](https://keys.openpgp.org/vks/v1/by-fingerprint/CC02CF153594774CF956691492B2600D18170329)
• fseq2 — Improving the feature density based peak caller with dynamic statistics.
• HiPart — A hierarchical divisive clustering toolbox
• ibm-metrics-plugin — IBM Watson OpenScale Metrics library
• kdpeak — A tool to identify genomic peaks based on kernel density estimation.
• langesim — Langevin simulator of an overdamped brownian particle in an arbitrary time-dependent potential
• luxonis-ml — MLOps tools for training models for Luxonis devices
• memnet — A set of useful classes and functions for dealing with neural networks implented using memristive crossbar arrays.
• mfe — Clean mass spectrometry imaging dataset and extract geologically meaningful features
• mlcolvar — Machine learning collective variables for enhanced sampling
• nico-sc-sp — This package finds covariation patterns between interacted niche cell types from single-cell resolution spatial transcriptomics data.
• randify — Simple probability density function estimation for existing code
• tdasha — Time-dependent Anthropogenic Seismic Hazard Assessment
• vera-explain — no summary