Reverse Dependencies of SciencePlots

The following projects have a declared dependency on SciencePlots:

• ark-analysis — Toolbox for analysis on segmented images from MIBI.
• data-iq — Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
• DeSide — A DEep-learning and SIngle-cell based DEconvolution method for solid tumors
• experimentkit — A toolkit for easily running research experiments
• freeplot — a Python data visualization library based on matplotlib
• Fumagalli-Motta-Tarantino-2020 — Implements the models presented in Fumagalli et al. (2020)
• gptchem — Use GPT-3 to solve chemistry problems
• neutrowater — Monte Carlo simulation of neutron moderation
• oetils — A collection of useful functions and classes
• polytex — PolyTex is an open-source toolkit for geometry modeling of fiber tow-based textiles based on volumetric images.
• pyaoa — Python package to automatically analyze objects in external aerodynamic flow for a range of angle-of-attack
• pycaputo — Evaluate fractional integrals and solve fractional ODEs
• pyloggrid — A python library to perform simulations on logarithmic lattices
• pymonke — Tools for creating lab reports and data analysis
• pypolo — A Python Library for Informative Planning and Uncertainty-Aware Learning
• python-allib — A typed Active Learning Library
• pyundergraduate — A package for numerical analysis with python
• QGrain — An easy-to-use software for the comprehensive analysis of grain size distributions
• rotspectools — no summary
• scientific-plots — Useful methods for plots used in science
• scubas — SCUBAS: Submarine Cables Upset by Auroral Streams.
• selfclean — A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
• SRLR — A package for sketched ridgeless estimator simulations, optimizing generalization. Identify the best sketching size to minimize out-of-sample risks. Stable risk curves in optimally sketched estimator eliminate peaks found in full-sample estimator. SRLR offers practical method to discover the ideal sketching size.
• tat-pulsar — timing library for high energy Pulsar observation
• torchmetrics — PyTorch native Metrics
• tttplots — Time-to-target Plots