logicalclocks / hops-util-pyLinks
Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai
☆27Updated last year
Alternatives and similar repositories for hops-util-py
Users that are interested in hops-util-py are comparing it to the libraries listed below
Sorting:
- Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops☆118Updated 2 years ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- Comet-For-MLFlow Extension☆66Updated last month
- MLOps Platform☆272Updated last year
- A collaborative feature engineering system built on JupyterHub☆94Updated 6 years ago
- ☆162Updated 4 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆71Updated 5 years ago
- Python - Java/Scala API for the Hopsworks feature store☆54Updated last month
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- ☆31Updated 3 years ago
- PySpark phonetic and string matching algorithms☆39Updated last year
- Joblib Apache Spark Backend☆248Updated 7 months ago
- HandySpark - bringing pandas-like capabilities to Spark dataframes☆196Updated 6 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Asynchronous actions for PySpark☆47Updated 3 years ago
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆137Updated 6 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- ☆40Updated 9 years ago
- Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.☆102Updated 6 years ago
- Documentation for Hopsworks and Hops☆11Updated 3 years ago
- Distributed XGBoost on Ray☆152Updated last year
- Deploy dask on YARN clusters☆69Updated last year
- ☆92Updated 5 years ago
- ☆37Updated 6 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- TSFresh primitives for featuretools☆36Updated 3 years ago
- ☆96Updated 5 years ago
- ☆34Updated 6 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated last year