jaedukseo Goto Github PK

vocgan

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

vocode-python

🤖 Build voice-based LLM agents. Modular + open source.

vocoder-benchmark

A repository for benchmarking neural vocoders by their quality and speed.

voice-changer

リアルタイムボイスチェンジャー Realtime Voice Changer

voice-skill-sdk

The official Magenta Voice Skill SDK used to develop skills for the Magenta Voice Assistant using Voice Platform!

voice2mesh

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

voiceconversion

voicefilter

Unofficial Keras implementation of Google AI VoiceFilter

voicefixer

General Speech Restoration

voicesmith

VoiceSmith makes training text to speech models easy.

voicevox

volrecon

Official code of VolRecon (CVPR 2023)

volsdf

vovnet-detectron2

[CVPR 2020] VoVNet backbone networks for detectron2

voxformer

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

voxset

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

voyager

An Open-Ended Embodied Agent with Large Language Models

vq-diffusion

vqgan-clip-animations

vqgan-clip-generator

Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

vqgan_prompts

Generates a random prompt for a VQGAN+CLIP

vqmivc

Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!

vrn-pytorch

PyTorch Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

vscode

Visual Studio Code

vunet

A generative model conditioned on shape and appearance.

wallgen

Generate HQ poly wallpapers

wasmtime

A fast and secure runtime for WebAssembly

wasserstein-style-transfer

Performs style transfer by defining the style loss as the Wasserstein distance between the distribution of the the style image features and the generated image features.

watch-it-move