awesome/machine-learning
1
0
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2024-11-13 11:24:23 -05:00
Code Activity

Merge pull request #683 from jimdowling/hopsworks

Browse source 
Hopsworks Feature Store
This commit is contained in:
Joseph Misiti 2020-04-22 09:31:14 -04:00 committed by GitHub
commit cb5c0f68d7
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

1
README.md
View file

@ -240,6 +240,7 @@ Further resources:
* [Featuretools](https://github.com/featuretools/featuretools) - A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".
* [skynet](https://github.com/Tyill/skynet) - A library for learning neural network, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
* [Feast](https://github.com/gojek/feast) - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
* [Hopsworks](https://github.com/logicalclocks/hopsworks) - An data-intensive platorm for AI with the industry's first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications.
* [Polyaxon](https://github.com/polyaxon/polyaxon) - A platform for reproducible and scalable machine learning and deep learning.
<a name="cpp-nlp"></a>