Alternatives and similar repositories for conda-piptools

Users that are interested in conda-piptools are comparing it to the libraries listed below

• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 4 years ago
• machine-learning-apps / wandb-action
  GitHub Action That Retrieves Model Runs From Weights & Biases
  ☆60Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆83Updated last year
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• Isaac-Flath / QuartoTemplates
  ☆20Updated 3 years ago
• radekosmulski / nvt_op_examples
  ☆27Updated 3 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 5 years ago
• fastai / fastbook2e
  The fastai book, 2nd edition (in progress)
  ☆57Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆185Updated last year
• fastai / fastkaggle
  Kaggling for fast kagglers!
  ☆54Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• fastai / docker-containers
  Docker images for fastai
  ☆181Updated 3 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆30Updated 3 years ago
• iterative / cml_base_case
  ☆20Updated last year
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated 2 years ago
• Machine-Learning-Tokyo / Annotation_Tools
  Open Source Annotation Tools for Computer Vision and NLP tasks
  ☆56Updated 4 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆72Updated 4 months ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆202Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year