mango VS Bayesian-Optimization-in-FSharp

Compare mango vs Bayesian-Optimization-in-FSharp and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
mango Bayesian-Optimization-in-FSharp
- 1
310 5
1.0% -
5.8 10.0
about 2 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mango

Posts with mentions or reviews of mango. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mango yet.
Tracking mentions began in Dec 2020.

Bayesian-Optimization-in-FSharp

Posts with mentions or reviews of Bayesian-Optimization-in-FSharp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing mango and Bayesian-Optimization-in-FSharp you can also consider the following projects:

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

neural-tangents - Fast and Easy Infinite Neural Networks in Python

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models