Haskell ecosystem

来自开放百科 - 灰狐
(版本间的差异)
跳转到: 导航, 搜索
(语言编译器)
(机器学习)
第102行: 第102行:
 
[[文件:haskell-brain.png|right|Haskell Brain]]
 
[[文件:haskell-brain.png|right|Haskell Brain]]
 
[[machine learning|机器学习]], [[deep learning|深度学习]], [[Artificial neural network|神经网络]], [[Natural language processing|NLP]] in Haskell
 
[[machine learning|机器学习]], [[deep learning|深度学习]], [[Artificial neural network|神经网络]], [[Natural language processing|NLP]] in Haskell
 +
*[https://haskell.libhunt.com/packages/machine-learning Haskell Machine Learning packages @ Libhunt]
 
*[https://mmhaskell.com/machine-learning Machine Learning in Haskell]
 
*[https://mmhaskell.com/machine-learning Machine Learning in Haskell]
 
*[https://hackage.haskell.org/packages/#cat:AI AI packages]
 
*[https://hackage.haskell.org/packages/#cat:AI AI packages]
 
*[https://github.com/DataHaskell/awesome-haskell-ml Awesome Haskell Machine Learning]
 
*[https://github.com/DataHaskell/awesome-haskell-ml Awesome Haskell Machine Learning]
 
*[https://github.com/HuwCampbell/grenade Grenade] [[Deep learning]] in Haskell  
 
*[https://github.com/HuwCampbell/grenade Grenade] [[Deep learning]] in Haskell  
 +
*[https://github.com/GU-CLASP/TypedFlow TypedFlow] Typed frontend to [[TensorFlow]] and higher-order [[deep learning]]
 
*[https://github.com/hasktorch/hasktorch Hasktorch] Tensors and neural networks in Haskell  
 
*[https://github.com/hasktorch/hasktorch Hasktorch] Tensors and neural networks in Haskell  
 
*[https://github.com/ajtulloch/dnngraph DNNGraph] A deep neural network model generation DSL in Haskell
 
*[https://github.com/ajtulloch/dnngraph DNNGraph] A deep neural network model generation DSL in Haskell
 
*[https://mmhaskell.com/ Monday Morning Haskel]
 
*[https://mmhaskell.com/ Monday Morning Haskel]
*[https://hackage.haskell.org/packages/#cat:Natural%20Language%20Processing Natural Language Processing packages]
+
*[https://hackage.haskell.org/packages/#cat:Natural%20Language%20Processing Natural Language Processing packages]
*[https://github.com/GU-CLASP/TypedFlow TypedFlow] Typed frontend to [[TensorFlow]] and higher-order [[deep learning]]
+
  
 
==数学物理==
 
==数学物理==

2021年12月9日 (四) 04:35的版本

Haskell ecosystem

Haskell-logo.png

目录

基金会

Haskell Foundation

项目集

用户服务商

语言编译器

GHC

GHC, GHCi, Haskell Compiler Service(HCS) 资源汇集

类型系统

这里包含类型、数据、结构、算法等软件包,Haskell 主要使用 data 与 newtype 关键字来定义新的数据类型。

包管理

cabal-install 支持多个 Haskell 编译器,而 ghc-pkg 仅用于 GHC。

  • Nix 是一个包管理器,它管理的包环境可信赖、可重现,可原子地执行升级与回滚,在这基础上又有了基于包管理的操作系统 NixOS
  • The Aura Package Manager

测试质量

桌面IDE

图形GUI

Web应用

Servant

数据科学

金融科技

机器学习

Haskell Brain

机器学习, 深度学习, 神经网络, NLP in Haskell

数学物理

并发并行

并行、并发、异步以及分布式、云计算

音乐视频

游戏

安全密码学

区块链

数据库存储

Postgrest-request-flow.png

Databases and Persistence

操作系统

Operating System

硬件芯片

图集

链接

分享您的观点
个人工具
名字空间

变换
操作
导航
工具箱