- Stockholm, Sweden
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09:39
- 1h ahead - carlthome.github.io/blog
- https://orcid.org/0000-0002-8225-5191
- @carlthome
- in/carlthome
- carl.thome
Starred repositories
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
InspireMusic: A Unified Framework for Music, Song, Audio Generation.
Cross-platform emulator collection distributed with Docker images.
A family of state-of-the-art Transformer-based audio codecs for low-bitrate high-quality audio coding.
Bundle Nix derivations to run anywhere! [maintainer=@matthewbauer, @Artturin]
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
Collection of image builders [maintainer=@Lassulus]
Flexible LoRA Implementation to use with stable-audio-tools
BeatBrewer is an innovative drum beat generation tool powered by Denoising Diffusion Probabilistic Models (DDPM). This model crafts unique, dynamic, and high-quality drum beats for music producers,…
The Song Describer dataset is an evaluation dataset made of ~1.1k captions for 706 permissively licensed music recordings.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Editor and Runtime modules that aim to add some Digital Audio Workstation capabilities to Unreal Engine 5, requires Unreal Editor 5.4
This is a hands-on lab/seminar, which complements the technologies and methodologies covered by the core courses of the SMC Master's program.
AudioLDM: Generate speech, sound effects, music and beyond, with text.
A list of publicly available room impulse response datasets and scripts to download them.
Multitrack music mixing style transfer given a reference song using differentiable mixing console.
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Wasm powered Jupyter running in the browser 💡
GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch
Collection of audio-focused loss functions in PyTorch
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
an architecture for neural network inference in real-time audio applications