kaggle | Python Package Wiki

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

shap	A unified approach to explain the output of any machine learning model.
lime	Local Interpretable Model-Agnostic Explanations for machine learning classifiers
torch	Tensors and Dynamic neural networks in Python with strong GPU acceleration
datashader	Data visualization toolchain based on aggregating into a grid
comet-ml	Supercharging Machine Learning
tensorflow-hub	TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
tensorboardX	TensorBoardX lets you watch Tensors Flow without Tensorflow
panel	A high level app and dashboarding solution for Python.
imageio-ffmpeg	FFMPEG wrapper for Python
torchvision	image and video datasets and models for torch deep learning
Keras	Deep Learning for humans
opencv-python-headless	Wrapper package for OpenCV python bindings.
xgboost	XGBoost Python Package
tensorflow-gpu	TensorFlow is an open source machine learning framework for everyone.
joblib	Lightweight pipelining: using Python functions as pipeline jobs.
aix360	IBM AI Explainability 360
osqp	OSQP: The Operator Splitting QP Solver
tensorflow	TensorFlow is an open source machine learning framework for everyone.
tflearn	Deep Learning Library featuring a higher-level API for TensorFlow

1.5.12	97.61%
1.5.6	1.07%

`pip install kaggle==1.5.12`