Alternatives and similar repositories for Bayesian_Hyperparameter_optimization:

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

• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 6 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆72Updated 3 years ago
• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆77Updated last year
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 4 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• yuxiangdai / machine-learning-templates
  Template codes and examples for Python machine learning concepts
  ☆40Updated 7 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 10 months ago
• bot13956 / ML_Model_for_Predicting_Ships_Crew_Size
  ☆75Updated 5 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆61Updated 4 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• datacamp / Market-Basket-Analysis-in-python-live-training
  Live Training: Market Basket Analysis in Python
  ☆45Updated 4 years ago
• priyadarshi0007 / TimeSeries-AIEngineering
  This is a repo for all the time series related notebook for AIENgineering
  ☆2Updated 4 years ago
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• manikandanj2207 / dataibreathe
  Code repository supporting the medium blog
  ☆13Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• PacktPublishing / Machine-Learning-Using-TensorFlow-Cookbook
  Machine Learning Using TensorFlow Cookbook, published by Packt
  ☆68Updated 2 years ago
• Meena-Mani / SECOM_class_imbalance
  Approaches for the class imbalance problem (in semicondutor manufacturing process line data)
  ☆22Updated 5 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆109Updated 2 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 5 years ago
• Apress / building-ml-and-dl-models-on-gcp
  Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'
  ☆37Updated 5 years ago
• jlricon / advanced-deep-learning
  Files for the Advanced Machine Learning Coursera course
  ☆19Updated 6 years ago