Topic: vq-vae Goto Github
Some thing interesting about vq-vae
Some thing interesting about vq-vae
vq-vae,Pytorch Implementation of "Neural Discrete Representation Learning"
User: 1konny
vq-vae,Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
Organization: amigolab
Home Page: https://arxiv.org/abs/2002.05692
vq-vae,Implementation of VQ-VAE with a GPT-style sampler in the JAX and Haiku ecosystem.
User: andylolu2
vq-vae,[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
User: awei669
Home Page: https://arxiv.org/abs/2309.00827
vq-vae,Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
User: bshall
Home Page: https://bshall.github.io/VectorQuantizedCPC/
vq-vae,A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
User: bshall
vq-vae,VQ-VAE for Acoustic Unit Discovery and Voice Conversion
User: bshall
Home Page: https://bshall.github.io/ZeroSpeech/
vq-vae,Implementation of the AudioLM model by Google in Pytorch
User: carlosholivan
Home Page: https://carlosholivan.github.io/audiolm-google-torch
vq-vae,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
User: clementchadebec
vq-vae,Implementation of a multi-modal VQ-VAE
Organization: completedprojects
vq-vae,Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
User: danieltudosiu
Home Page: https://arxiv.org/abs/2002.05692
vq-vae,A Chainer implementation of VQ-VAE.
User: dhgrs
vq-vae,Easy generative modeling in PyTorch.
User: eugenhotaj
vq-vae,This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
User: explainingai-code
vq-vae,code for paper: https://arxiv.org/pdf/2203.08080.pdf
User: fostiropoulos
vq-vae,Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
User: henningbuhl
vq-vae,Official Implement of Multi-Stage Multi-Codebook (MSMC) TTS
User: hhguo
vq-vae,Python toolkit for speech processing
Organization: hyperion-ml
vq-vae,Official repository for the paper "Topological Neural Discrete Representation Learning à la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)
Organization: idsia
vq-vae,An implementation of the paper [Vector-Quantization-Based Topic Modeling](https://dl.acm.org/doi/10.1145/3450946), providing a series of VQ-VAE models for topic modelling. The model reaches state-of-the-art performance on Ng20 and enables the extraction of dense topic vectors for downstream tasks.
User: ighina
vq-vae,Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
User: jiazhao97
vq-vae,(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
User: mael-zys
Home Page: https://mael-zys.github.io/T2M-GPT/
vq-vae,Official PyTorch code for "Transformer-based out-of-distribution detection for clinically safe segmentation"
User: marksgraham
Home Page: https://proceedings.mlr.press/v172/graham22a.html
vq-vae,Signal Processing with Python and Librosa
User: mehdihosseinimoghadam
vq-vae,Learn morphological states of dynamic cells
Organization: mehta-lab
vq-vae,L-Verse: Bidirectional Generation Between Image and Text
Organization: mimiclab
vq-vae,Minimalist implementation of VQ-VAE in Pytorch
User: nadavbh12
vq-vae,Code for the paper "Jukebox: A Generative Model for Music"
Organization: openai
Home Page: https://openai.com/blog/jukebox/
vq-vae,A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.
User: pier-maker92
vq-vae,Official Code Repo for the paper "Learning to Play Atari in a World of Tokens" accepted at ICML, 2024
User: pranaval
Home Page: https://pranaval.github.io/DART/
vq-vae,📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
User: rese1f
vq-vae,Vector Quantized VAEs - PyTorch Implementation
User: ritheshkumar95
vq-vae,Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
User: rosinality
vq-vae,Modular image generation library
User: samedii
vq-vae,[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
User: samxuxiang
vq-vae,Vector-Quantized Generative Adversarial Networks
User: sayedmohamedscu
vq-vae,KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
User: sekirorong
vq-vae,Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Organization: sony
vq-vae,Implementation of the framework described in the paper Spectrogram Inpainting for Interactive Generation of Instrument Sounds published at the 2020 Joint Conference on AI Music Creativity.
Organization: sonycslparis
Home Page: https://sonycslparis.github.io/interactive-spectrogram-inpainting/
vq-vae,PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
User: swasun
vq-vae,PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
User: swasun
vq-vae,This is the official implementation of MusER (AAAI'24).
User: tayjsl97
vq-vae,cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
User: theengineerprogrammer
vq-vae,Hercules: Attributable and Scalable Opinion Summarization (ACL 2023)
User: tomhosking
Home Page: http://tomho.sk/hercules
vq-vae,Tensorflow implementation of VQVAE for voice conversion
User: twidddj
vq-vae,CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
User: ustc-jialunpeng
vq-vae,PyTorch Implementation of Vector Quantized Variational AutoEncoders.
User: vrushank264
vq-vae,PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Organization: zalandoresearch
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