easeml / automl
A Scalable Auto-ML System
☆53Updated 2 years ago
Alternatives and similar repositories for automl:
Users that are interested in automl are comparing it to the libraries listed below
- Willump Is a Low-Latency Useful Machine learning Platform.☆44Updated 2 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 3 years ago
- Flow with FlorDB 🌻☆155Updated 2 months ago
- Distribution transparent Machine Learning experiments on Apache Spark☆90Updated last year
- Inspect ML Pipelines in Python in the form of a DAG☆70Updated last year
- yogadl, the flexible data layer☆74Updated 2 years ago
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated last year
- Demo Code for Ray Summit 2020.☆10Updated 4 years ago
- Incubating project for xgboost operator☆76Updated 3 years ago
- A JSON-based schema for storing declarative descriptions of machine learning experiments☆45Updated 7 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆52Updated last year
- A deep ranking personalization framework☆134Updated last year
- MLFlow Deployment Plugin for Ray Serve☆44Updated 3 years ago
- MLOps Python Library☆118Updated 3 years ago
- Distributed XGBoost on Ray☆148Updated 9 months ago
- A platform for online learning that curtails data latency and saves you cost.☆47Updated 3 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- XGBoost GPU accelerated on Spark example applications☆52Updated 2 years ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai☆27Updated 10 months ago
- Quick definitions and intuitive explanations around machine learning.☆34Updated 9 months ago
- Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptio…☆39Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.☆18Updated 6 years ago
- Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"☆29Updated 10 months ago