Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

A simple and elegant Jekyll theme for an academic personal homepage

A beautiful, simple, clean, and responsive Jekyll theme for academics

[ICLR'24] Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering

Variational auto-encoders for audio

Audiogen Codec

Official code for SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound

This toolbox aims to unify audio generation model evaluation for easier comparison.

Python packaging and dependency management made easy

This repo implements a Stable Diffusion model in PyTorch with all the essential components.

This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch

Vector (and Scalar) Quantization, in Pytorch

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

AudioLDM training, finetuning, evaluation and inference.

Official repository supporting the L3DAS23 IEEE ICASSP Grand Challenge

[OBSOLETE] Plugin that adds OAuth2 login support to yt-dlp's YouTube extractors

A feature-rich command-line audio/video downloader

Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models

Implementation of SpatialCodec.

Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".

Stereo, Binaural, Surround -- The more the better

Learning audio concepts from natural language supervision

Contrastive Language-Audio Pretraining

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)