Alternatives and similar repositories for auto-tensorflow

Users that are interested in auto-tensorflow are comparing it to the libraries listed below

• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• vopani / waveton
  100 applications built with H2O Wave
  ☆99Updated 2 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last week
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆143Updated 2 years ago
• aporia-ai / mlnotify
  🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
  ☆344Updated 3 years ago
• TripathiAshutosh / FastAPI
  Microservice creation and Machine Learning Model Deployment using FastAPI
  ☆116Updated 3 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 7 months ago
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆541Updated 7 months ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last week
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆187Updated last year
• ersaurabhverma / autoplotter
  ☆152Updated 4 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆306Updated 2 months ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆107Updated 3 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆168Updated 11 months ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆148Updated last year
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• BPrasad123 / MLOps_Zoomcamp
  MLOps hands-on notes, notebooks and scripts of months of learning
  ☆27Updated 3 years ago
• sundarramamurthy / pyspark
  A quick reference guide to the most commonly used patterns and functions in PySpark SQL
  ☆55Updated 3 years ago
• aniketmaurya / chitra
  A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
  ☆230Updated 2 months ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆147Updated 3 years ago
• kurtispykes / Machine-Learning
  All content related to machine learning from my blog
  ☆116Updated 3 years ago
• srivatsan88 / google_cloud_AI_ML
  This repository contains code to learn AI and ML on Google Cloud Platform
  ☆102Updated 4 years ago