scikit-surprise | Python Package Wiki

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

argo-models	Generated openapi models for Argo objects.
kfmd	KubeFlow Metadata SDK
kfp	KubeFlow Pipelines SDK
papermill	Parametrize and run Jupyter and nteract Notebooks
ansiwrap	textwrap, but savvy to ANSI colors and styles
mdparse	Parsing markdown files for deep learning.
fastprogress	A nested progress with plotting options for fastai
nbclient	A client library for executing notebooks. Formally nbconvert's ExecutePreprocessor.
nvidia-ml-py3	Python Bindings for the NVIDIA Management Library
nest-asyncio	Patch asyncio to allow nested event loops
kfp-server-api	Kubeflow Pipelines API
google-cloud-videointelligence	Google Cloud Video Intelligence API client library
tensorflow-serving-api	TensorFlow Serving Python API.
grpcio-gcp	gRPC extensions for Google Cloud Platform
opt-einsum	Optimizing numpys einsum function
tfx-bsl	tfx_bsl (TFX Basic Shared Libraries) contains libraries shared by many TFX (TensorFlow eXtended) libraries and components.
tfx	TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google
json5	A Python implementation of the JSON5 data format.
tensorflow-transform	A library for data preprocessing with TensorFlow

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

pip install scikit-surprise==1.1.1