Starred repositories
天猫 TaoBao i茅台 iMatoTai JD 京东抢购、京东抢茅台 Windows 端、开箱即用无需配置环境。开发在即（开源协议采用 Apache License）
Bash script for installing V2Ray in operating systems such as Debian / CentOS / Fedora / openSUSE that support systemd
Some comprehensive papers about speaker diarization
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (f…
Curated list of data science interview questions and answers
Magenta: Music and Art Generation with Machine Intelligence
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A latent text-to-image diffusion model
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
SoftVC VITS Singing Voice Conversion
Singing Voice Conversion via diffusion model
openvpi / DiffSinger
Forked from MoonInTheRiver/DiffSingerAn advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Shadowsocks/SS一键脚本、ShadowsocksR/SSR一键脚本、V2Ray一键脚本、trojan一键脚本、VPS教程
High-Resolution Image Synthesis with Latent Diffusion Models
这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
the Tensorflow version of multi-speaker TTS training with feedback constraint
Variational Bayes HMM over x-vectors diarization
Python package for combining diarization system outputs.
Tools for handling multimodal data in machine learning projects.
End-to-End Object Detection with Transformers
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
Keras Attention Layer (Luong and Bahdanau scores).
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained