uber / petastormLinks
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
☆1,876Updated last month
Alternatives and similar repositories for petastorm
Users that are interested in petastorm are comparing it to the libraries listed below
Sorting:
- A low-latency prediction-serving system☆1,422Updated 4 years ago
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,744Updated last year
- Library for exploring and validating machine learning data☆779Updated 7 months ago
- TFX is an end-to-end platform for deploying production ML pipelines☆2,172Updated this week
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆671Updated 2 weeks ago
- MLeap: Deploy ML Pipelines to Production☆1,532Updated 3 weeks ago
- Automated Machine Learning on Kubernetes☆1,657Updated last week
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,281Updated 11 months ago
- Distributed Computing for AI Made Simple☆1,047Updated 2 years ago
- Scalable Machine Learning with Dask☆944Updated 4 months ago
- Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO☆735Updated 2 months ago
- A model-agnostic visual debugging tool for machine learning☆1,673Updated last year
- Input pipeline framework☆988Updated 6 months ago
- Model analysis tools for TensorFlow☆1,267Updated 6 months ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,139Updated 3 months ago
- Kubeflow’s superfood for Data Scientists☆661Updated this week
- Adaptive Experimentation Platform☆2,699Updated this week
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,715Updated last week
- PyTorch elastic training☆728Updated 3 years ago
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,693Updated 2 weeks ago
- High performance model preprocessing library on PyTorch☆646Updated last year
- A uniform interface to run deep learning models from multiple frameworks☆940Updated 2 years ago
- Universal model exchange and serialization format for decision tree forests☆808Updated last week
- TonY is a framework to natively run deep learning frameworks on Apache Hadoop.☆711Updated 2 years ago
- A Redis module for serving tensors and executing deep learning graphs☆841Updated 5 months ago
- Multi Model Server is a tool for serving neural net models for inference☆1,024Updated last year
- Extended pickling support for Python objects☆1,885Updated 3 months ago
- Experiment tracking, ML developer tools☆898Updated 9 months ago
- Train and run Pytorch models on Apache Spark.☆339Updated 2 years ago
- TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows…☆2,271Updated 2 years ago