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Welcome to my GitHub.com profile! 👋

My name is Carl Thomé. I'm a computer scientist focused on machine learning and music technology. My primary interest in life is music and I'm a music information retrieval (MIR) enthusiast. I love digital signal processing (DSP) but I'm particularly interested in associative memory for artificial neural networks (ANNs). My current love is differentiable programming and self-supervised learning. I mistakingly think I'd like to learn category theory. Automatic differentiation go brrr.

🤔 Some personal beliefs

  • Scientific knowledge should be accessible to everyone.
  • Engineering is an artistic craft that deserves practice.
  • Free software alternatives are important for a society.
  • Everyone can learn mathematics if it's taught right.
  • Working together goes further than competing.
  • Prestige kills creativity.
  • Formalisms are fun but secondary to intuition.
  • Following interests is more important than having a career.

🍭 A little bit of gamification

Carl Thomé's GitHub stats

Carl Thomé's Projects

action icon action

a GitHub action to run `pre-commit`

aisfx icon aisfx

Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.

alignmentduration icon alignmentduration

lyrics-to-audio-alignement system. Decoding with Viterbi forced alignment. Note duration aware decoding

audio-gallery icon audio-gallery

Easily create a simple and maintainable website for showcasing audio examples

audiocraft icon audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

audioread icon audioread

cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python

audioscrape icon audioscrape

Scrape audio from YouTube and SoundCloud with a simple command-line interface.

beam icon beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

beat-transformer icon beat-transformer

Codes for ISMIR 2022 paper: Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention

beatnet icon beatnet

BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).

blog icon blog

:green_book: This repo generates my personal blog

bnlstm icon bnlstm

Batch normalized LSTM for tensorflow

cukiverb icon cukiverb

Cukiverb is a real-time convolution reberb for the Digital Audio Workstation (DAW) Reaper. This work represents the outcome of my undergraduate studies Final Project.

cvxopt icon cvxopt

CVXOPT -- Python Software for Convex Optimization

datasets-1 icon datasets-1

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dbt-checkpoint icon dbt-checkpoint

:fishing_pole_and_fish: List of `pre-commit` hooks to ensure the quality of your `dbt` projects.

dotfiles icon dotfiles

My idiosyncratic config for personal computing

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