pretrainedmodels | Python Package Wiki

Based on how often these packages appear together in public requirements.txt files on GitHub.

wandb	A CLI and library for interacting with the Weights and Biases API.
botorch	Bayesian Optimization in PyTorch
gpytorch	An implementation of Gaussian Processes in Pytorch
ax-platform	Adaptive Experimentation
sigopt	SigOpt Python API Client
cmdstanpy	Python interface to CmdStan
matminer	matminer is a library that contains tools for data mining in Materials Science
thepipe	A lightweight, general purpose pipeline framework.
km3io	KM3NeT I/O without ROOT
particle	Extended PDG particle data and MC identification codes
LunarCalendar	A lunar calendar converter, including a number of lunar and solar holidays, mainly from China.
hopcroftkarp	Implementation of HopcroftKarp's algorithm
apexpy	A Python wrapper for Apex coordinates
sos-notebook	Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis
jupyter_declarativewidgets	Jupyter extensions for supporting declarative widgets
jupyter_cms	Extension for Jupyter Notebook 4.0.x with experimental content management features
jupyter_dashboards	Extension for Jupyter Notebook for laying out, viewing, and deploying notebooks as dynamic dashboards
astrostarfish	Covariance tools for fitting stellar spectra
geopandas	Geographic pandas extensions

`pip install pretrainedmodels==0.7.4`