Audio transformer 600OhmCT:600OhmCT Primary DC resistance: 109 Ohm +/-15% Total secondary DC resistance: 134 Ohm +/-15% Frequency range 60Hz - [...]
Rosinality on Twitter / X
https://t.co/LJg6GFTOV2Validation of transformer modifications similar to https://t.co/r9BdFwpCfK with modern modifications. It is nice to find out bonferroni correction here. Maybe the setup that has been used here could have low statistical power, but at the same time each… pic.twitter.com/M6mQREWvBG— Rosinality (@rosinality) May 21, 2026
An Analogy for Understanding Transformers — LessWrong
Thanks to the following people for feedback: Tilman Rauker, Curt Tigges, Rudolf Laine, Logan Smith, Arthur Conmy, Joseph Bloom, Rusheb Shah, James Da…
Tone.js
Tone.js is a Web Audio framework for creating interactive music in the browser. The architecture of Tone.js aims to be familiar to both musicians and audio programmers creating web-based audio applications. On the high-level, Tone offers common DAW (digital audio workstation) features like a global transport for synchronizing and scheduling events as well as prebuilt synths and effects. Additionally, Tone provides high-performance building blocks to create your own synthesizers, effects, and complex control signals.
Transformer Explainer: LLM Transformer Model Visually Explained
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
Ibanez SRC6MS Bass Workshop Multi-Scale Soundgear | Reverb
Reverb is a marketplace bringing together a wide-spanning community to buy, sell, and discuss all things music gear.
The Illustrated Transformer
Discussions: Hacker News (65 points, 4 comments), Reddit r/MachineLearning (29 points, 3 comments) Translations: Arabic, Chinese (Simplified) 1, Chinese (Simplified) 2, French 1, French 2, Italian, Japanese, Korean, Persian, Russian, Spanish 1, Spanish 2, Vietnamese Watch: MIT’s Deep Learning State of the Art lecture referencing this post Featured in courses at Stanford, Harvard, MIT, Princeton, CMU and others Update: This post has now become a book! Check out LLM-book.com which contains (Chapter 3) an updated and expanded version of this post speaking about the latest Transformer models and how they've evolved in the seven years since the original Transformer (like Multi-Query Attention and RoPE Positional embeddings). In the previous post, we looked at Attention – a ubiquitous method in modern deep learning models. Attention is a concept that helped improve the performance of neural machine translation applications. In this post, we will look at The Transformer – a model that uses attention to boost the speed with which these models can be trained. The Transformer outperforms the Google Neural Machine Translation model in specific tasks. The biggest benefit, however, comes from how The Transformer lends itself to parallelization. It is in fact Google Cloud’s recommendation to use The Transformer as a reference model to use their Cloud TPU offering. So let’s try to break the model apart and look at how it functions. The Transformer was proposed in the paper Attention is All You Need. A TensorFlow implementation of it is available as a part of the Tensor2Tensor package. Harvard’s NLP group created a guide annotating the paper with PyTorch implementation. In this post, we will attempt to oversimplify things a bit and introduce the concepts one by one to hopefully make it easier to understand to people without in-depth knowledge of the subject matter. 2025 Update: We’ve built a free short course that brings the contents of this post up-to-date with animations: A High-Level Look Let’s begin by looking at the model as a single black box. In a machine translation application, it would take a sentence in one language, and output its translation in another.
Building EXCEPTIONAL speakers using MODERN TECHNIQUES
Audio & MIDI - Zrythm v2.0.0-DEV documentation
The Export dialog below is used to export the project or part of the project into audio or MIDI files. It can be accessed by clicking Export.
Welcome to AcoustID! | AcoustID
AcoustID is a project providing complete audio identification service, based entirely on open source software.
Derivatives of Spherical Harmonics
Christoph Peters. 2025–06 in High-Performance Graphics 2025. Poster.
Dev Docs for Zotero Plugin
Comprehensive developer documentation for building Zotero plugins — getting started guides, core concepts (lifecycle, data model, preferences, notifications), best practices for UI injection and Zotero APIs, and a complete API reference.
HIFI WALKER H20 Ultra Hi-Res Audio Player | Official
H20 Ultra: ES9038Q2M DAC, native DSD256, 340mW balanced output, LDAC BT 5.2, 4" touchscreen, 36-hr battery. Shop the flagship HIFI WALKER DAP.
