dmesquita / dvc_pipelines_and_experiments_tutorial

Related projects ⓘ

Alternatives and complementary repositories for dvc_pipelines_and_experiments_tutorial

• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• cliffclive / datasciencemvp
  Data Science template for quickly setting up a project workflow; lightweight version of cookiecutter datascience.
  ☆15Updated 5 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• medoidai / ts-changepoint-detection-app
  An R/Shiny app for time-series segmentation and changepoint detection tasks.
  ☆17Updated 4 years ago
• Zainali5 / PyRapidML
  PyRapidML is an open source Python library which not only helps in automating Machine Learning Workflows but also helps in building end t…
  ☆14Updated 3 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆106Updated 5 years ago
• PythonPredictions / cobra
  A Python package to build predictive linear and logistic regression models focused on performance and interpretation
  ☆30Updated 9 months ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• datarobot-community / examples-for-data-scientists
  ☆61Updated 6 months ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆24Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 7 years ago
• FredaXin / eda_and_beyond
  Library of automation tools for EDA and modeling
  ☆27Updated 3 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated last year
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated last year
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated last year
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆23Updated 6 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆62Updated 5 years ago
• jphall663 / GWU_rml
  ☆35Updated 9 months ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆30Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• sbalnojan / cd4ml-example
  A CD4ML Example Setup on AWS S3, GitLab with DVC
  ☆24Updated last year