cocoakeith Goto Github PK

powervim

Make your vim more power and much easer.

prompt-engineering-for-developers

吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版，视频地址：https://www.bilibili.com/video/BV1Bo4y1A7FU

prompt-engineering-guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

pymatting

A Python library for alpha matting

pytorch-examples

Simple examples to introduce PyTorch

pytorchtricks

Some tricks of pytorch... :star:

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

reco-papers

Classic papers and resources on recommendation

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

rembg

Rembg is a tool to remove images background

resume

rspapers

A Curated List of Must-read Papers on Recommender System.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

setup-ipsec-vpn

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

sickzil-machine

Manga/Comics Translation Helper Tool

so-vits-svc

SoftVC VITS Singing Voice Conversion

speech-recognition-papers

Towards hot directions in industrial speech recognition

streamingtransformer

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

v2ray

最好用的 V2Ray 一键安装脚本 & 管理脚本

wav2lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

whisper-finetune

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

whisper-jax

xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).