Alternatives and similar repositories for dockerize-datascience:

Users that are interested in dockerize-datascience are comparing it to the libraries listed below

• FranzDiebold / docker-datascience-ultimate
  Customized Jupyter Spark Docker images with everything you need
  ☆16Updated 3 months ago
• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• julian-west / e4ds-snippets
  Code examples and experiments from https://engineeringfordatascience.com
  ☆37Updated last year
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 2 years ago
• jackv-murray / lastfm-scrobble-analysis
  an end-to-end data pipeline extracting music listening habits and producing an insightful dashboard
  ☆15Updated last year
• ashishtele / MetaFlow_MLOps
  End to end example of Metaflow and Prefect pipelines (Python)
  ☆8Updated 3 years ago
• kuutsav / mlops
  Template for data pipelines, ML workflows, API dev and monitoring
  ☆45Updated last year
• kylegallatin / components-of-an-ml-system
  ☆11Updated 2 years ago
• mattharrison / Idiomatic-Pandas-Tutorial
  Pandas Training © MetaSnake 2022, CC BY-NC
  ☆18Updated 3 years ago
• tylerjrichards / Getting-Started-with-Streamlit-for-Data-Science
  ☆49Updated last year
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• risingwavelabs / risingwave-data-talks-workshop-2024-03-04
  DataTalks Workshop Materials
  ☆18Updated last year
• dlt-hub / dlt_demos
  demo examples how to load data from different sources to different destinations
  ☆20Updated last month
• marshackVB / rapid_nlp_blog
  Accompanying solution accelerator notebook for the Databricks blog on transformer models
  ☆15Updated 2 years ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆130Updated last year
• josephmachado / analytical_dp_with_sql
  Code for my "Efficient Data Processing in SQL" book.
  ☆56Updated 7 months ago
• alexeygrigorev / minsearch
  Minimalistic text search engine that uses sklearn and pandas
  ☆19Updated 4 months ago
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• manoss96 / fluke
  Cloud-agnostic Python API
  ☆61Updated 9 months ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 3 years ago
• thejat / mlops-notebooks
  ☆65Updated last month
• misraturp / Pandas-dataframe-reshaping
  ☆16Updated 2 years ago
• mharty3 / energy_data_capstone
  ☆33Updated last year
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆48Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated last year
• khuyentran1401 / analyze_github_feed
  Create a local dashboard to visualize and filter your GitHub feed
  ☆29Updated 2 years ago
• djliden / llmops-examples
  Example code and notebooks related to mlflow, llmops, etc.
  ☆41Updated 9 months ago
• danhphan / trusted-data-pipeline
  Building 3D Trusted Data Pipelines With Dagster, Dbt, and Duckdb
  ☆20Updated last year
• korotovsky / privateGPT
  Interact privately with your documents using the power of GPT, 100% privately, no data leaks
  ☆33Updated last year