Alternatives and similar repositories for dvc_dask_use_case

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

• iterative / dvclive
  📈 Log and track ML metrics, parameters, models with Git and/or DVC
  ☆181Updated this week
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆153Updated this week
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• iterative / ldb-resources
  ☆27Updated 2 years ago
• amesar / mlflow-tools
  Tools for MLflow
  ☆38Updated last year
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated last year
• soundsensing / mlflow-easyauth
  Deploy MLflow with HTTP basic authentication using Docker
  ☆104Updated last month
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆35Updated 3 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆98Updated 3 years ago
• pyscaffold / pyscaffoldext-dsproject
  💫 PyScaffold extension for data-science projects
  ☆159Updated this week
• DagsHub / fds
  Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
  ☆393Updated last year
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆75Updated 2 years ago
• andrey-avdeev / telemetry
  Easy to use util for profiling in production
  ☆11Updated 2 years ago
• bertbesser / dvc-walkthrough
  A walkthrough of essential DVC features (including tutorial text as well as a working environment).
  ☆17Updated 2 years ago
• tensorwerk / hangar-py
  Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
  ☆205Updated 5 years ago
• iterative / dvc-data
  DVC's data management subsystem
  ☆18Updated this week
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated 2 years ago
• deepyaman / kedro-accelerator
  Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
  ☆36Updated 3 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• iterative / workshop-uncool-mlops
  Accompanies the uncool MLOps workshop
  ☆26Updated 3 years ago
• koaning / memo
  Decorators that logs stats.
  ☆115Updated 7 months ago
• jeremyjordan / model_test
  A proof of concept library for generating and running machine learning model tests
  ☆13Updated 5 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• vvssttkk / dst
  yet another custom data science template via cookiecutter
  ☆71Updated 8 months ago
• krassowski / jupyter-helpers
  A collection of helpers for Jupyter/IPython
  ☆47Updated 4 years ago
• iterative / dataset-registry
  Dataset registry DVC project
  ☆82Updated last year
• iterative / cookiecutter-data-science
  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
  ☆27Updated 2 years ago
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 4 years ago
• Scitator / animus
  Minimalistic framework to run machine learning experiments.
  ☆27Updated 3 years ago
• OptimizationGuys / CraftML
  CraftML is a restful web service for easy pipeline creation without code.
  ☆13Updated 4 years ago