comet-ml | Python Package Wiki

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

xport	SAS XPORT file reader
aix360	IBM AI Explainability 360
osqp	OSQP: The Operator Splitting QP Solver
wurlitzer	Capture C-level output in context managers
kaggle	Kaggle API
tensorflow-tensorboard	TensorBoard lets you watch Tensors Flow
menpo3d	Menpo library providing tools for 3D Computer Vision research
shap	A unified approach to explain the output of any machine learning model.
bert-tensorflow	BERT
embeddings	Pretrained word embeddings in Python.
lime	Local Interpretable Model-Agnostic Explanations for machine learning classifiers
astor	Read/rewrite/write Python ASTs
Keras-Applications	Reference implementations of popular deep learning models
gast	Python AST that abstracts the underlying Python version
tensorboard	TensorBoard lets you watch Tensors Flow
interpret	Fit interpretable machine learning models. Explain blackbox machine learning.
xtoy	get xtoyed predictions from raw data
interpret-core	Fit interpretable machine learning models. Explain blackbox machine learning.
backports.weakref	Backport of new features in Python's weakref module

Proportion of downloaded versions in the last 3 months (only versions over 1%).

pip install comet-ml==3.21.0