AndreyGuzhov / AudioCLIPLinks
Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
☆861Updated 4 years ago
Alternatives and similar repositories for AudioCLIP
Users that are interested in AudioCLIP are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP☆356Updated 3 years ago
- This repo hosts the code and models of "Masked Autoencoders that Listen".☆645Updated last year
- Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".☆286Updated last year
- Learning audio concepts from natural language supervision☆638Updated last year
- Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)☆371Updated last year
- Contrastive Language-Audio Pretraining☆2,027Updated 8 months ago
- Audio Dataset for training CLAP and other models☆729Updated last month
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆722Updated 2 years ago
- A curated list of different papers and datasets in various areas of audio-visual processing☆765Updated 2 years ago
- Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".☆1,419Updated 2 years ago
- VGGSound: A Large-scale Audio-Visual Dataset☆350Updated 4 years ago
- [ACM MM 2021 Best Paper Award] Video Background Music Generation with Controllable Music Transformer☆323Updated 8 months ago
- A self-supervised learning framework for audio-visual speech☆969Updated 2 years ago
- Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".☆414Updated 3 years ago
- Efficient Training of Audio Transformers with Patchout☆371Updated 2 years ago
- Official PyTorch implementation of Contrastive Learning of Musical Representations☆335Updated last year
- Pytorch port of Google Research's VGGish model used for extracting audio features.☆408Updated 4 years ago
- [CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation☆452Updated last year
- Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".☆469Updated last year
- A curated list of audio-visual learning methods and datasets.☆284Updated last year
- An Audio Language model for Audio Tasks☆318Updated last year
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,273Updated 3 years ago
- This toolbox aims to unify audio generation model evaluation for easier comparison.☆373Updated last year
- [TPAMI2024] Codes and Models for VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset☆307Updated last year
- The source code of our paper "Diffsound: discrete diffusion model for text-to-sound generation"☆365Updated 2 years ago
- DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.☆880Updated last year
- Audio generation using diffusion models, in PyTorch.☆2,093Updated 2 years ago
- Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch☆549Updated 3 years ago
- The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"☆468Updated 4 months ago
- Library for Textless Spoken Language Processing☆555Updated 2 years ago