Alternatives and similar repositories for awesome-annual-reviews-and-trends

Users that are interested in awesome-annual-reviews-and-trends are comparing it to the libraries listed below

• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• ploomber / soorgeon
  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
  ☆79Updated 9 months ago
• outerbounds / metaflow-card-notebook
  Render Jupyter Notebooks With Metaflow Cards
  ☆30Updated 9 months ago
• ploomber / nbsnapshot
  Automated Jupyter notebook testing. 📙
  ☆41Updated last year
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 10 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 8 months ago
• iterative / VSCode-DVC-Workshop
  Workshop about DVC VSCode Extension
  ☆14Updated 9 months ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• oskar-j / awesome-text-ml
  A curated list of ML awesome frameworks & libraries for text data
  ☆16Updated 2 years ago
• orchest / orchest-examples
  Awesome Orchest projects, both official and submitted by the community.
  ☆25Updated last year
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆99Updated last week
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 6 months ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• ljvmiranda921 / vs-split
  A Python library for creating adversarial splits
  ☆13Updated 2 years ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆18Updated last year
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 4 months ago
• MuttData / muttlib
  ☆29Updated last year
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 4 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 3 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• AnswerDotAI / py-smi
  Convenient access to `pynvml` (the library behind `nvidia-smi`)
  ☆22Updated 8 months ago
• koaning / solah
  Very basic solar regression
  ☆15Updated last month