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(インスト)廃墟とウサギの島(オリジナル) [音楽・サウンド] ●先日うさぎ島こと大久野島に行ってきたので作成しました。うさぎの楽園で有名な島ですが、以前は毒...
In the autumn of 1931, the philosopher Martin Heidegger began to record his thoughts in small diaries that he called the schwarze Hefte, or “black notebooks.” By the early 1970s he had filled no fewer than thirty-four volumes with his handwritten reflections. Several of these notebooks, composed over a ten-year span from 1931 to 1941, have now appeared in three successive volumes of the official G
In this guide, we don't aim to teach you programming in ATS (Applied Type System), but we need to tell you enough so that a seasoned ML programmer can quickly adjust to the terminology used in ATS and start reading existing ATS code. In ATS, it is useful to keep in mind that you will be programming in three worlds. Dynamics, the part that evaluates when you run the program. This is what programmer
What do you expect your editor to highlight? What are the different ways that we can highlight code without calling external tools? Whilst most editors have converged on a common set of base functionality, there’s still innovation occurring in this field. The limitation of highlighting tools is that you can’t use all of them at the same time. We’ll explore what’s available to help you choose. I’m
Summary: I've just released ghcid, which interactively shows the errors in your project on each save. I'm please to announce ghcid, which is either "GHCi as a daemon" or "GHC + a bit of an IDE". I've been using it for my development for the last few days, and already find it quite valuable. Unlike other Haskell development tools, ghcid is intended to be incredibly simple. In particular, it doesn't
Complex step differentiation is a technique that employs complex arithmetic to obtain the numerical value of the first derivative of a real valued analytic function of a real variable, avoiding the loss of precision inherent in traditional finite differences. Contents Then last February I met Joaquim Martins, a Professor of Aerospace Engineering at the University of Michigan, during the SIAM CS&E
かなり以前(2012年)のものになりますが、deeplearning.netでRecurrent Neural Network(の一種)のTheanoによる実装とMIDIデータからの旋律予測に関する論文の実装が公開されていたの紹介します。またその他機械学習による音楽情報の解析に関して少し紹介します。 Modeling and generating sequences of polyphonic music with the RNN-RBM (deeplearning.net) Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription 論文pdf 著者ページ 論文概要 Recurrent Neural Ne
Introduction The most used custom allocators at Intersec are the FIFO and the Stack allocators, detailed in a previous article. The stack allocator is extremely convenient, thanks to the t_scope macro, and the FIFO is well fitted to some of our use cases, such as inter-process communication. It is thus important for these allocators to be optimized extensively. We are two interns at Intersec, and
Haskell programmers have access to so-called arrow notation for programming with arrows (i.e. generalised functions). It looks something like this: {-# LANGUAGE Arrows #-} f :: (Int, Int, Int) -> (Int, Int, Int, Int) f = proc (a,b,c) -> do d <- (+1) -< a e <- uncurry div -< (d,c) f <- negate -< e g <- (*2) -< b returnA -< (d,e,f,g) To me this is not very satisfying. It doesn’t seem to convey the a
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