Alternatives and similar repositories for flor

Users that are interested in flor are comparing it to the libraries listed below

• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• easeml / automl
  A Scalable Auto-ML System
  ☆53Updated 2 years ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆44Updated 2 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 7 years ago
• stefan-grafberger / mlinspect
  Inspect ML Pipelines in Python in the form of a DAG
  ☆70Updated last year
• cylondata / cylon
  Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
  ☆302Updated last year
• mlcommons / mlcube
  MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
  ☆157Updated last year
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• ray-project / ray_beam_runner
  Ray-based Apache Beam runner
  ☆41Updated 2 years ago
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆94Updated last year
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆469Updated 2 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• stanford-futuredata / omg
  ☆22Updated 2 years ago
• capitalone / rubicon-ml
  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
  ☆137Updated last week
• NVIDIA / spark-xgboost-examples
  XGBoost GPU accelerated on Spark example applications
  ☆53Updated 3 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• Vaishaal / numpywren
  Serverless Scientific Computing
  ☆87Updated 6 years ago
• ray-project / deltacat
  A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to …
  ☆240Updated this week
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• delta-incubator / deltatorch
  ☆58Updated last year
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated 2 years ago
• HoloClean / HoloClean-Legacy-deprecated
  A Machine Learning System for Data Enrichment.
  ☆75Updated 7 years ago
• linkedin / gdmix
  A deep ranking personalization framework
  ☆133Updated 2 years ago
• mitdbg / aurum-datadiscovery
  ☆79Updated 2 years ago
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆136Updated 6 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆76Updated 2 years ago
• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆48Updated last year
• ibis-project / ibis-substrait
  Ibis Substrait Compiler
  ☆105Updated this week