Alternatives and similar repositories for deep_learning_for_structured_data

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

• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆122Updated last month
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆65Updated 5 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆135Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• PacktPublishing / Machine-Learning-Using-TensorFlow-Cookbook
  Machine Learning Using TensorFlow Cookbook, published by Packt
  ☆69Updated last month
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆187Updated last month
• G-Hung / model-productization_article
  This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
  ☆84Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆220Updated last month
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆241Updated 5 years ago
• alexander-n-thomas / spark-nlp-book
  ☆63Updated 5 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• PacktPublishing / Machine-Learning-Algorithms-Second-Edition
  Machine Learning Algorithms Second Edition, published by Packt
  ☆68Updated last year
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆52Updated 5 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆62Updated last month
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• PacktPublishing / Practical-Machine-Learning-with-TensorFlow-2.0-and-Scikit-Learn
  Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt
  ☆58Updated last month
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆190Updated last month
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆263Updated 2 years ago
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆101Updated last month
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• dvaughan79 / analyticalskillsbook
  Code for the book Analytical Skills for AI and Data Science
  ☆47Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago