haskell-ml
Machine Learning Library
Implementations of basic machine learning algorithms in Haskell
Haskell implementations of various ML algorithms.
57 stars
5 watching
7 forks
Language: Haskell
last commit: over 11 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
| | A Clojure library for machine learning built on top of Weka and friends | 148 |
| | A Clojure library for building machine learning models on top of Weka and other algorithms | 135 |
| | Developing a high-performance machine learning library that balances speed and flexibility in Haskell | 1,623 |
| | Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,583 |
| | A Haskell library for building neural networks and working with tensors. | 1,083 |
| | A Haskell compiler that aims to improve the performance and efficiency of the language | 134 |
| | A parser combinator library designed to be industrial-strength and easy to use | 850 |
| | A collection of machine learning algorithms implemented in Scala for prototyping and experimentation. | 39 |
| | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
| | A Clojure-based machine learning library that provides a simple and stable way to perform regression and classification tasks. | 97 |
| | An easy-to-use machine learning library with various algorithms for classification and regression tasks. | 281 |
| | Provides pre-built implementations of machine learning algorithms in Go | 202 |
| | A machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities. | 76 |
| | Learning Haskell with focus on dependent types and type-level programming using the OneOf data structure | 70 |