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JuliaStats/MLBase.jl

0
View on GitHub↗
186 stars·61 forks·Julia·MIT·1 view

MLBase.jl

A set of functions to support the development of machine learning algorithms

Features

  • Machine Learning Frameworks - Core functions supporting the development of Julia ML algorithms.

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Open-source alternatives to MLBase.jl

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    Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a feature engineering tool and a model trainer that utilizes sparse feature modeling to simplify weight debugging and accelerate data iteration. The system includes a specialized domain-specific transformation language for converting raw data families into model-ready representations. It also provides capabilities for visual content analysis by mapping images into dense high-dimensional vector spaces to rank and organize data by style or content. The framework allows for human-

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  • aksnzhy/xlearnaksnzhy avatar

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    High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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  • alan-turing-institute/mlj.jlalan-turing-institute avatar

    alan-turing-institute/MLJ.jl

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    A Julia machine learning framework

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  • ai4finance-foundation/finrlAI4Finance-Foundation avatar

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    FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated trading strategies. It functions as a quantitative finance toolkit that integrates deep learning algorithms with financial market simulations to address complex portfolio management and asset allocation tasks. The platform provides an end-to-end pipeline for transforming raw market data into actionable trading models. The project distinguishes itself through a layered, modular architecture that separates data processing, environment simulation, and agent training. This design allow

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See all 30 alternatives to MLBase.jl→

Frequently asked questions

What does juliastats/mlbase.jl do?

A set of functions to support the development of machine learning algorithms

What are the main features of juliastats/mlbase.jl?

The main features of juliastats/mlbase.jl are: Machine Learning Frameworks.

What are some open-source alternatives to juliastats/mlbase.jl?

Open-source alternatives to juliastats/mlbase.jl include: airbnb/aerosolve — Aerosolve is a machine learning framework designed for training and deploying interpretable models. It functions as a… aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… alan-turing-institute/mlj.jl — A Julia machine learning framework. alejandro-isaza/braincore — The iOS and OS X neural network framework. alexrudall/ruby-openai — OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible! ai4finance-foundation/finrl — FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated…