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unsup_gen_for_cms_reasoning

unsupervised_topic_segmentation

unsupseg

Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation (INTERSPEECH 2020)

upsa

uulearning

Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".

vae

a simple vae and cvae from keras

vae-lagging-encoder

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

vae-pretraining-encoder

PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)

vampire

Variational Methods for Pretraining in Resource-limited Environments

variational-transformer

Variational Transformers for Diverse Response Generation

variationaltemplatemachine

Code for "Variational Template Machine for Data-to-text generation"

vat_tf

Virtual adversarial training with Tensorflow

vcd_divergence

Code to minimize the Variational Contrastive Divergence (VCD)

vector-quantized-autoencoders

Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"

vectorhub

Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

vectorquantizedcpc

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

vg-gplms

The code repository for EMNLP 2021 paper "Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization".

vgrow

VGrow for deep generative learning

vi-hds

Variational inference for hierarchical dynamical systems

video-summarization

videowalk

Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

virb

Visual Representation Learning Benchmark for Self-Supervised Models

vlae

Code for Variational Laplace Autoencoders

voice_converter_cyclegan

Voice Converter Using CycleGAN and Non-Parallel Data

vokenization

PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"

vq-vae

A Tensorflow Implementation of VQ-VAE Speaker Conversion

vqvae-speech

Tensorflow implementation of the speech model described in Neural Discrete Representation Learning (a.k.a. VQ-VAE)

warp-ctc-crf

An extension of thu-spmi/CAT which contains a full-fledged implementation of CTC-CRF for Tensorflow.

wasserstein-dist

tensorflow implementation of the Wasserstein (aka optimal transport) distance

wav2letter

Facebook AI Research Automatic Speech Recognition Toolkit