虞兮曦's repositories
labilibili
仿bilibili前后端实现
Animal-Simulation-game
Dive into Nature Simulation v1, a dynamic ecosystem game. Experience life's balance with interactive controls and stunning visuals of flora and fauna. Engage, learn, and enjoy nature's complexity in a vividly animated environment. Perfect for enthusiasts of simulations and nature.
DeepBI
LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.
diudiu
一个轻量的企业级BFF框架
GeneFacePlusPlus
GeneFace++: Generalized and Stable Real-Time 3D Talking Face Generation; Official Code
GLEE
【CVPR2024】GLEE: General Object Foundation Model for Images and Videos at Scale
GPT-INT
An extension for Visual Studio Code that integrates the power of OpenAI's GPT models into VSCode.
Harvard-FairSeg
[ICLR 24] Harvard FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
im-chat
Fake wechat chat
indexer
corescriptions indexer
JYso
It can be either a JNDIExploit or a ysoserial.
keras2circom
python tool to transpile a tf.keras model into a circom circuit
leveldb-chinese-annotated
leveldb chinese annotation
MarkFlowy
Modern markdown editor application, Build fast and efficient workflows.
opml
OPML: OPtimistic Machine Learning on Blockchain
reactuse
Collection of essential React Hooks Utilities.
StratiCounterGUI
a GUI
stream
Streaming processing framework, source, channel, sink, support mqtt, Kafka and other components
SwanLab
🧐SwanLab: track and visualize all the pieces of your machine learning pipeline. Join our WeChat ⬇️
synthetic-data-generator
SDG is a component focused on the rapid generation of synthetic data for structured tabular data.
TaskingAI
The open source platform for AI-native application development.
TimeSlotSelector
基于Vue 3.0的拖拽式时间槽选择器，让你畅享终极时间管理体验
UFO
A UI-Focused Agent for Windows OS Interaction.
VmambaIR
This is official implementtaion of "VmambaIR: Visual State Space Model for Image Restoration"
XCrawler
股票爬虫项目
YiTu
YiTu is an easy-to-use runtime to fully exploit the hybrid parallelism of different hardwares (e.g., GPU) to efficiently support the execution of various kinds of graph algorithms (e.g., GNNs).