🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
OpenMusic: SOTA Text-to-music (TTM) Generation
List of academic resources on Multimodal ML for Music
Tegridy MIDI Dataset for precise and effective Music AI models creation.
Local windowed attention multi-instrumental music transformer for supervised music generation
Standalone (Ableton Link) + VST3/AU for live performance. 8 tracks, 8 AI models, 30 seconds of patience per loop. It occasionally hallucinates. Not a song generator - you still have to do the work. Stay human.
Official implementation of "Contrastive Audio-Language Learning for Music" (ISMIR 2022)
SOTA Google's Perceiver-AR Music Transformer Implementation and Model
[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
Stable Audio LoRA Trainer of salty goodness
SOTA kilo-scale MIDI dataset for MIR and Music AI purposes
Full-attention multi-instrumental music transformer featuring asymmetrical encoding with octo-velocity, and chords counters tokens, optimized for speed and performance
GPT3-based Multi-Instrumental MIDI Music AI Implementation
A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.
ARCHIVED USE theDAW at https://github.com/gantasmo/theDAW - Browser-based AI audio DAW for Stable Audio 3 with text-to-audio, inpainting, LoRA training, FFmpeg effects, waveform editing, sequencer, piano roll, and persistent library.
[DEPRECIATED] [PyTorch 2.0] [638M] [85.33% acc] Full-attention multi-instrumental music transformer for supervised music generation, optimized for speed, efficiency, and performance
SOTA Piano Transformer model trained on 4.2GB of Solo Piano MIDI music
Official implementation of "Equivariant Self-Supervision for Musical Tempo Estimation (ISMIR 2022)"
Do Music Generation Models Encode Music Theory? (ISMIR 2024)
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