Alternatives and similar repositories for AudioCLIP:

Users that are interested in AudioCLIP are comparing it to the libraries listed below

• facebookresearch / AudioMAE
  This repo hosts the code and models of "Masked Autoencoders that Listen".
  ☆581Updated last year
• descriptinc / lyrebird-wav2clip
  Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP
  ☆341Updated 3 years ago
• v-iashin / SpecVQGAN
  Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
  ☆360Updated 9 months ago
• YuanGongND / cav-mae
  Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".
  ☆256Updated last year
• LAION-AI / CLAP
  Contrastive Language-Audio Pretraining
  ☆1,613Updated 5 months ago
• LAION-AI / audio-dataset
  Audio Dataset for training CLAP and other models
  ☆676Updated last year
• microsoft / CLAP
  Learning audio concepts from natural language supervision
  ☆547Updated 7 months ago
• lucidrains / x-clip
  A concise but complete implementation of CLIP with various experimental improvements from recent papers
  ☆707Updated last year
• YuanGongND / ast
  Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
  ☆1,270Updated last year
• harritaylor / torchvggish
  Pytorch port of Google Research's VGGish model used for extracting audio features.
  ☆386Updated 3 years ago
• haoheliu / audioldm_eval
  This toolbox aims to unify audio generation model evaluation for easier comparison.
  ☆335Updated 6 months ago
• kkoutini / PaSST
  Efficient Training of Audio Transformers with Patchout
  ☆332Updated last year
• Spijkervet / CLMR
  Official PyTorch implementation of Contrastive Learning of Musical Representations
  ☆321Updated 9 months ago
• YuanGongND / ssast
  Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
  ☆381Updated 2 years ago
• magenta / music-spectrogram-diffusion
  ☆392Updated 3 months ago
• nttcslab / byol-a
  BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
  ☆211Updated 2 years ago
• archinetai / audio-diffusion-pytorch
  Audio generation using diffusion models, in PyTorch.
  ☆2,035Updated last year
• hche11 / VGGSound
  VGGSound: A Large-scale Audio-Visual Dataset
  ☆314Updated 3 years ago
• microsoft / Pengi
  An Audio Language model for Audio Tasks
  ☆304Updated last year
• researchmm / MM-Diffusion
  [CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
  ☆420Updated 10 months ago
• XinhaoMei / WavCaps
  This reporsitory contains metadata of WavCaps dataset and codes for downstream tasks.
  ☆222Updated 9 months ago
• Zasder3 / train-CLIP
  A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
  ☆690Updated 3 years ago
• YuanGongND / ltu
  Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".
  ☆429Updated last year
• wilson1yan / VideoGPT
  ☆1,030Updated 7 months ago
• crowsonkb / v-diffusion-pytorch
  v objective diffusion inference code for PyTorch.
  ☆716Updated 2 years ago
• bytedance / uss
  This is the PyTorch implementation of the Universal Source Separation with Weakly labelled Data.
  ☆347Updated last year
• asteroid-team / torch-audiomentations
  Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
  ☆1,032Updated 3 months ago
• facebookresearch / SLIP
  Code release for SLIP Self-supervision meets Language-Image Pre-training
  ☆766Updated 2 years ago
• krantiparida / awesome-audio-visual
  A curated list of different papers and datasets in various areas of audio-visual processing
  ☆715Updated last year
• FreddeFrallan / Multilingual-CLIP
  OpenAI CLIP text encoders for multiple languages!
  ☆795Updated last year