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 / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆131Updated 4 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆117Updated last month
• 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
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated last month
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated last month
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• 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
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆33Updated 3 years ago
• dkhundley / ds-quick-tips
  Data Science Quick Tips Repository!
  ☆48Updated last year
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• adipolak / ml-with-apache-spark
  A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…
  ☆86Updated 2 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• PacktPublishing / Machine-Learning-Algorithms-Second-Edition
  Machine Learning Algorithms Second Edition, published by Packt
  ☆67Updated last year
• DataForScience / Timeseries
  Timeseries for everyone
  ☆262Updated 2 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• alexander-n-thomas / spark-nlp-book
  ☆62Updated 4 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• 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
• pycaret / pycaret-demo-mlflow
  pycaret-demo-mlflow
  ☆30Updated 4 years ago
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆101Updated last month
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated last month
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year