idiap / hypermixingLinks
PyTorch implementation for HyperMixing, a linear-time token-mixing technique used in HyperMixer architecture
☆24Updated 2 years ago
Alternatives and similar repositories for hypermixing
Users that are interested in hypermixing are comparing it to the libraries listed below
Sorting:
- Pytorch Reimplementation of DiffWave Vocoder: a high quality, fast, and small neural vocoder.☆90Updated 4 years ago
- Torch implementation of Soft-DTW, supports CUDA.☆42Updated 2 years ago
- Implementation of the proposed minGRU in Pytorch☆302Updated 6 months ago
- Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)☆78Updated last year
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆67Updated 2 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated last week
- [SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model☆126Updated 11 months ago
- Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"☆152Updated 9 months ago
- VQ-VAE implementation in Pytorch☆27Updated 5 years ago
- Pytorch implementation of conformer with with training script for end-to-end speech recognition on the LibriSpeech dataset.☆27Updated last year
- A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony☆33Updated last year
- This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…☆38Updated last year
- ☆92Updated 11 months ago
- ☆24Updated last year
- Relative Positional Encoding for Transformers with Linear Complexity☆64Updated 3 years ago
- Implementation of the convolutional module from the Conformer paper, for use in Transformers☆423Updated 2 years ago
- PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech Recognition" (NeurIPS 2022)☆146Updated 2 years ago
- ☆27Updated last year
- Sequence Modeling with Structured State Spaces☆66Updated 3 years ago
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆94Updated last year
- EVAR ~ Evaluation package for Audio Representations☆64Updated 3 weeks ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆124Updated 9 months ago
- Single channel speech source separation by diffusion process (ICASSP 2023)☆112Updated last year
- Implementation of the paper "wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" in Pytorch.☆50Updated 2 years ago
- [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition☆219Updated 2 years ago
- A State-Space Model with Rational Transfer Function Representation.☆81Updated last year
- Code for the paper: How Much Context Does My Attention-Based ASR System Need?☆11Updated 4 months ago
- Conditional Diffusion Probabilistic Model for Speech Enhancement☆244Updated 2 years ago
- Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT i…☆48Updated 2 months ago
- ☆164Updated 2 years ago