Alternatives and similar repositories for mercury-robust:

Users that are interested in mercury-robust are comparing it to the libraries listed below

• BBVA / mercury-explainability
  mercury-explainability is a library with implementations of different state-of-the-art methods in the field of explainability. They are d…
  ☆16Updated last month
• BBVA / mercury-monitoring
  mercury-monitoring is a library to monitor data and model drift
  ☆14Updated last month
• modzy / model-deployment-checklist
  An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
  ☆30Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated 9 months ago
• kylegallatin / recsim
  A framework for simulating e-commerce data and interactions that can be used to build recommendation systems
  ☆10Updated last year
• BBVA / mercury-graph
  mercury-graph is a Python library that offers graph analytics capabilities with a technology-agnostic API.
  ☆30Updated last month
• dm4ml / gate
  Drift detection module for machine learning pipelines.
  ☆25Updated last year
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated last year
• AnswerDotAI / toolslm
  Tools to make language models a bit easier to use
  ☆43Updated last week
• lancedb / ragged
  ☆19Updated 6 months ago
• santiviquez / ageml
  Study the temporal performance degradation of machine learning models.
  ☆16Updated last year
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆53Updated 8 months ago
• charlesfrye / dreambooth-modal
  run dreambooth training on modal
  ☆22Updated 2 years ago
• mlopscommunity / community-survey
  MLOps community survey
  ☆10Updated 2 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆23Updated 3 weeks ago
• parlance-labs / langfree
  Leverage your LangChain trace data for fine tuning
  ☆41Updated 9 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• kedro-org / kedro-starters
  Templates for your Kedro projects.
  ☆75Updated last month
• emergentmethods / flowdapt
  Gitlab.com Mirror - Please open issues and pull requests over there
  ☆43Updated 2 weeks ago
• timescale / rag-is-more-than-vector-search
  Companion repo to "RAG is more than vector search" blog post
  ☆22Updated 2 months ago
• data-engineering-helpers / architecture-principles
  Architecture principles
  ☆12Updated 3 weeks ago
• DataResponsibly / MirrorDataGenerator
  MirrorDataGenerator is a python tool that generates synthetic data based on user-specified causal relations among features in the data. I…
  ☆23Updated 2 years ago
• Arize-ai / tutorials_python
  python jupyter notebook tutorials
  ☆12Updated 3 months ago
• lfunderburk / llmops-with-haystack
  Retrieval Augmented Generation applications
  ☆26Updated last year
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆13Updated 10 months ago
• langchain-ai / prompt-eval-recommendation
  Streamlit app for recommending eval functions using prompt diffs
  ☆27Updated last year
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 3 years ago
• zenml-io / vscode-zenml
  VSCode extension for ZenML
  ☆14Updated this week