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Featuring two days of talks, demos and discussions, the Haskell eXchange is an opportunity for Haskellers to meet, talk, learn, share skills and exchange ideas. Everyone is welcome to join, whether an expert or a beginner, whether commercial user, academic or hobbyist. Line Up 2015 View this year's speakers, topics and workshops/tutorials here. The Haskell eXchange is an independent conference org
I’ve been away from luminance for a few days because I wanted to enhance the graphics world of Haskell. luminance might be interesting, if you can’t use the art works of your artists, you won’t go any further for a real-world application. I decided that I to write a parser/lexer to load 3D geometries from files. The Wavefront OBJ is an old yet simple and efficient way of encoding such objects. It
Oct 11, 2015 The identity function looks like this in Rust: /// The identity function. fn id<T>(x: T) -> T { x } id returns the same value that is passed in: assert_eq!(1, id(1)); Beyond the obvious, it does some curious and fun things! You can test this blog post’s code in the Rust Playground. id Type Hints or Coerces let string = "hi".to_string(); // Coerce a &String to &str, with id: match id::
GADTs Meet Their Match: Pattern-Matching Warnings That Account for GADTs, Guards, and Laziness Georgios Karachalias Ghent University, Belgium georgios.karachalias@ugent.be Tom Schrijvers KU Leuven, Belgium tom.schrijvers@cs.kuleuven.be Dimitrios Vytiniotis Simon Peyton Jones Microsoft Research Cambridge, UK {dimitris,simonpj}@microsoft.com Abstract For ML and Haskell, accurate warnings when a func
Plumbum (latin for lead) is a port of Michael Snoyman's excellent conduit library. It allows for production, transformation, and consumption of streams of data in constant memory. It can be used for processing files, dealing with network interfaces, or parsing structured data in an event-driven manner. Features Large and possibly infinite streams can be processed in constant memory. Chunks of data
モナドと一口に言っても内部実装色々あるので、同じ機能のモナドを色々な書き方で書いてみます。 要件 あまり複雑にしてもアレなので、State,WriterとIOの制約くらいにしておきます。 インスタンスはFunctor, Applicative, Monadのみ 内部にIntで0開始のカウンタと、DList Logで表現されるログを持つ incr :: Int -> DSL ()でカウンタを増減し、ログにI iを追加 reset :: DSL ()でカウンタを0に戻し、ログにRを追加 current :: DSL ()で標準出力に現在のカウントを出力。文脈内でそれ以外のIOは不可能とする runDSL :: DSL () -> IO (Int, [Log])でDSLを実行し、最後のカウンタの値とログを返す。 Logデータ型はこんな感じにして共通に使用し、
We are pleased to announce the release of Julia 0.4.0. This release contains major language refinements and numerous standard library improvements. A summary of changes is available in the NEWS log found in our main repository. We will be making regular 0.4.x bugfix releases from the release-0.4 branch of the codebase, and we recommend the 0.4.x line for users requiring a more stable Julia environ
The Haskell community self-selects for people interested in unique things that Haskell can do that other languages cannot do. Consequently, a large chunk of Haskell example code in the wild uses advanced idioms (and I'm guilty of that, too). So I would like to swing the pendulum in the other direction by just writing five small but useful programs without any imports, language extensions, or advan
Recurrent Neural Networks (RNNs) are powerful models for sequential data that have the potential to learn long-term dependencies. However, they are computationally expensive to train and difficult to parallelize. Recent work has shown that normalizing intermediate representations of neural networks can significantly improve convergence rates in feedforward neural networks . In particular, batch no
Operads, Type Level Nats, and Tic-Tac-Toe Posted by Bartosz Milewski under Category Theory, Haskell, Programming [6] Comments This summer I spent some time talking with Edward Kmett about lots of things. (Which really means that he was talking and I was trying to keep up.) One of the topics was operads. The ideas behind operads are not that hard, if you’ve heard about category theory. But the Hask
Now that we understand the possible Bencoded values, we can create a datatype to store them. data BValue = String ByteString | Number Integer | List [BValue] | Dictionary [(ByteString, BValue)] I’m using an Integer to store the number. This will handle both sign and arbitrarily large inputs. We will be converting this to an efficient integer type depending on the context later on. Let’s parse ever
KeePassC KeePassC is a curses-based password manager compatible to KeePass v.1.x and KeePassX Download as .tar.gz View on GitHub KeePassC Actual stable release from May 16, 2018: v1.8.0 My main focus has switched to reimplement this project in Rust as it allows me to realize my vision of a secure password manager which is not possible with Python. However I will publish bug fixes and answer bug re
This tutorial on implementing recurrent neural networks (RNNs) from scratch with Python and NumPy will build on the previous tutorial on how to implement a feedforward neural network . Please check out this previous tutorial if you are unfamiliar with neural network basics such as backpropagation. This first part will illustrate how to implement a minimal RNN . The RNN is simple enough to visualiz
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