BetaML.jl Files

Beta Machine Learning Toolkit

This is an exact mirror of the BetaML.jl project, hosted at https://github.com/sylvaticus/BetaML.jl. SourceForge is not affiliated with BetaML.jl. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2025-09-16	440 Bytes	0
v0.12.3 source code.tar.gz	2025-09-16	3.2 MB	0
v0.12.3 source code.zip	2025-09-16	3.3 MB	0
Totals: 3 Items		6.5 MB	0

BetaML v0.12.3

Diff since v0.12.2

Introduced the option fail_epoch_ref for the neural network options Added mase error meause

Merged pull requests: - CompatHelper: bump compat for CategoricalArrays to 1, (keep existing compat) (#77) (@github-actions[bot]) - CompatHelper: bump compat for JLD2 to 0.6, (keep existing compat) (#78) (@github-actions[bot])

Source: README.md, updated 2025-09-16

Other Useful Business Software

Keep company data safe with Chrome Enterprise

Protect your business with AI policies and data loss prevention in the browser

Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.

Download Chrome

Simple, Secure Domain Registration

Get your domain at wholesale price. Cloudflare offers simple, secure registration with no markups, plus free DNS, CDN, and SSL integration.

Register or renew your domain and pay only what we pay. No markups, hidden fees, or surprise add-ons. Choose from over 400 TLDs (.com, .ai, .dev). Every domain is integrated with Cloudflare's industry-leading DNS, CDN, and free SSL to make your site faster and more secure. Simple, secure, at-cost domain registration.

Recommended Projects

Stats With Julia Book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability...
Lux.jl
Lux.jl is a lightweight and extensible deep learning framework in Julia designed for speed, composability, and clarity. Unlike traditional machine learning libraries that bundle training logic and models, Lux separates model definitions from training routines, encouraging modularity and ease of...
The Julia Programming Language
Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers...
Computational Thinking
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science,...
mlpack
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers....

BetaML.jl Files

Beta Machine Learning Toolkit

Get an email when there's a new version of BetaML.jl

BetaML v0.12.3