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neural-codec

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Unofficial PyTorch implementation of Higgs Audio V2 Tokenizer with HuBERT semantic features. Complete training pipeline for semantic-acoustic audio tokenization with 960x downsampling and 8-layer RVQ.

  • Updated Oct 8, 2025
  • Python

Pure-C text-to-speech engine: autoregressive decoder + discrete neural audio codec, no Python at runtime. Sub-realtime on a 2020 M1 CPU (RTF 0.36 int8) and 0.26 on a mainstream NVIDIA GPU. f16/int8/int4 decode weights, memory-mapped, Metal & CUDA optional. Runs NVIDIA Magpie + NanoCodec, 12 languages.

  • Updated Aug 4, 2026
  • C

An edge-optimized Vector-Quantized Autoencoder (VQ-VAE) in PyTorch for high-fidelity satellite image compression. Utilizes Sliced Vector Quantization and Gradient Checkpointing to operate within 4GB VRAM, achieving a 19x compression ratio at 0.92 SSIM via a custom composite loss function.

  • Updated May 31, 2026
  • JavaScript

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