Reverse Dependencies of seaborn
The following projects have a declared dependency on seaborn:
- omniplot — To draw scientific plots easily
- omnisafe — A comprehensive and reliable benchmark for safe reinforcement learning.
- omniverse — A collection of code for Omniverse.
- oneat — Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
- OneFlow-Hassi34 — It's an Implementation of ANN with callbacks
- onemetric — Metrics Library to Evaluate Machine Learning Algorithms in Python
- oneNeuron-pypi-wongannnee — Small package for ANN implementation
- oneworld — Python mapping made easy
- onsset — OnSSET model
- ont-remora — Nanopore methylation/modified base calling detached from basecalling
- onto-vae — Package to preprocess ontologies, train OntoVAE models and obtain pathway activities.
- ONTraC — A niche-centered, machine learning method for constructing spatially continuous trajectories
- ood_detectors — no summary
- oodeel — Simple, compact, and hackable post-hoc deep OOD detection for alreadytrained tensorflow or pytorch image classifiers.
- oogeso — Offshore Oil and Gas Field Energy System Operational Optimisation (OOGESO)
- opcsim — OPCSIM: simulating low-cost optical particle counters
- open-geodata — Dados Espaciais do Brasil
- Open-SESAME-Battery — Open source battery lifetime simulation software
- open_worm_analysis_toolbox — Open Worm Analysis Toolbox
- openav — OpenAV
- OpenBioSeq — Open Bio-sequence Toolbox for Supervision and Self-Supervision Learning
- openclean — Library for data cleaning and data profiling
- opencompass — A comprehensive toolkit for large model evaluation
- OpenFASoC — Fully Open-Source Autonomous SoC Synthesis using Customizable Cell-Based Synthesizable Analog Circuits
- openhunt — A Python library to expedite the analysis of data during hunting engagements
- openmixup — Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
- openml — Python API for OpenML
- openmnglab — A Python framework for microneurography analysis
- OpenNIR-XPM — OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline (Experimaestro version)
- openpy-dsse — Open source library for state estimation of a distribution network modeled in OpenDSS
- openpy-fxts — Various functions and classes for time series forecasting with Machine and Deep Learning
- OpenQTSim — OpenQTSim facilitates discrete event simulation of queues with a Kendall notation.
- openrl — unified reinforcement learning framework
- openrlbenchmark — no summary
- openrlbenchmark-nightly — no summary
- opensafely-cohort-extractor — no summary
- openscm-calibration — no summary
- openscm-runner — Thin wrapper to run emissions scenarios with simple climate models
- openscm-twolayermodel — Implementations of the two layer radiative forcing driven models by `Held et al. <https://journals.ametsoc.org/doi/full/10.1175/2009JCLI3466.1>`_ and `Geoffroy et al. <https://journals.ametsoc.org/doi/pdf/10.1175/JCLI-D-12-00195.1>`_
- openscm-units — Handling of units related to simple climate modelling.
- opoca — Opoca library aims to drastically speed up producing proof of concepts (PoC) for machine learning projects.
- opossum — Simulated Data Generating Process
- opqua — An epidemiological modeling framework for population genetics and evolution.
- opstrat — Option stategy visualizer
- optical-lattice — Resolve atom occupations in an optical lattice
- optichill — Machine Learning Package for chiller plant efficiency
- optima-ml — Distributed hyperparameter optimization and input variable selection for artificial neural networks.
- optimum-transformers — Accelerated nlp pipelines using Transformers, Optimum and ONNX Runtime
- optoanalysis — Python package with functions for data analysis
- optymus — Optimization Methods Library
- oracle-ads — Oracle Accelerated Data Science SDK
- orbit-ml — Orbit is a package for Bayesian time series modeling and inference.
- orchid-python-api — Defines and implements the Python API for Orchid*. (*Orchid is a mark of Reveal Energy Services, Inc.)
- oreum-core — Core tools for use on projects by Oreum Industries
- orionmlengines-pkg-rioatmadja2018 — ML Engines to support ORION Project.
- orpheum — Sencha is a Python package for directly translating RNA-seq reads into coding protein sequence.
- orpytal — Python Package for Two-Body Orbital Mechanics
- orrey — Utilities for daily GLM tasks
- orthomap — extract orthomap from OrthoFinder output for query species
- os-copilot — An self-improving embodied conversational agents seamlessly integrated into the operating system to automate our daily tasks.
- oscar-test0629 — For testing.
- oscillations-paper — Data, Analysis, and Plotting Code
- oscovida — Coronavirus-2020
- osl-dynamics — Models for infering dynamics in neuroimaging data
- osman — A package which lets users oversample class imbalanced(binary) data by Deep Generative Models. It offers two APIS. They are : variational auto encoder and WGAN-GP.
- osmsg — OpenStreetMap Stats Generator: Commandline
- ot2rec-report — Generate reports for Ot2Rec
- otargenpy — Interact seamlessly with Open Target Genetics' GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of genetic data
- ou-tm129-py — Python environment for TM129
- ou-tm351-py — Python package installation for OU module TM351
- outlier-detection — Detect outliers from pandas dataframe using various statistical tools
- outlier-plotting — More graceful handling of outliers in plots
- outliers-filtering — outliers_filtering package for Python-Guide.org
- outrank — OutRank: Feature ranking for massive sparse data sets.
- outset — add zoom indicators, insets, and magnified panels to matplotlib/seaborn visualizations with ease!
- ovnImage — Useful helper functions of image processing and machine learning
- owl-python — Lightweight ML library for image analysis
- ozcore — My core.
- p3k — p3k - yet another P300 offline classification tool
- pac-hunter — Search donations from specific PACs to candidates of interest, using OpenFEC and fivethirtyeight data
- PacbioDataProcessing — Tools to process PacBio sequencing data at molecule level
- package-ml — Notre premier package de machine learning
- paddlesci — A library for scientific machine learning
- paddlets — PaddleTS (Paddle Time Series Tool), PaddlePaddle-based Time Series Modeling in Python
- paderbox — Collection of utilities in the department of communications engineering of the UPB
- pagexml-tools — Utility functions for reading PageXML files
- paiktj — slight variation from builtin modules
- pairformance — Tool to perform paired evaluation of automatic systems.
- pairplotr — Pairplotr is a Python library used to graph combinations of numerical and categorical data in a pair plot
- pairwiseANIviz — Pairwise ANI (Average Nucleotide Identity) visulization tool.
- palette-diagram — Visualization tool for collective categorical data
- palladio — ParALleL frAmework for moDel selectIOn
- palma — no summary
- palmiche — A python package for automation of MD simulations
- PaMoveIt — A movement recognition library
- PanClassif — A method to improve TCGA pancancer classifiers performance
- pandas-cat — Pandas categorical profiling. Generates html profile report for categorical dataset. Also provides several handful functions.
- pandas-cleaner — A pandas extension for cleaning datasets.
- pandas-missing — A pandas extension to explore and handling missing values.
- pandas-ml-utils — Augment pandas DataFrame with methods for machine learning