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utmos22

UT-Sarulab MOS prediction system using SSL models

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022

v-diffusion-jax

v objective diffusion inference code for JAX.

v-diffusion-pytorch

v objective diffusion inference code for PyTorch.

vakyansh-models

Open source speech to text models for Indic Languages

vakyansh-tts

Text to Speech for Indic languages

validator.py

String Validation In python, Inspired by Validator.js

van-classification

variational-diffwave

varuna

vecalign

Improved Sentence Alignment in Linear Time and Space

vectorhub

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

veni

A simple Python package for deep learning using forward automatic differentiation based on JAX.

versatile-diffusion

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, 2022

vert-papers

This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).

vertex-ai-alphafold-inference-pipeline

This repository compiles prescriptive guidance and code samples demonstrating how to operationalize AlphaFold batch inference using Vertex AI Pipelines.

vformer

A PyTorch library for Vision Transformers

vg-gplms

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

vi-svs

Use VITS and Opencpop to develop singing voice synthesis; Different from VISinger.

video-captioning

Video Captioning is an encoder decoder mode based on sequence to sequence learning

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

video-classification-cnn-and-lstm-

To classify video into various classes using keras library with tensorflow as back-end.

video-pre-training

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

video-sentiment-analysis

Analyze any video with the help of the Deep Learning Emotion Detection model. The model is of 72% accuracy. User can Upload a video or can also Capture a video at a time for the analysis.

video2numpy

Optimized library for large-scale extraction of frames and audio from video.

video2text

📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text

videobert

Using VideoBERT to tackle video prediction

videogpt

videomae

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training