Starred repositories
Leverage WorldQuant API to generate alpha signals, and mine promising alpha expressions.
TradingAgents: Multi-Agents LLM Financial Trading Framework
World Quant 101 alphas็่ฎก็ฎๅ็ญ็ฅๅ
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars โญ. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
๐ฏ AI ๆธธๆ๏ผ็ผ็ปไปฃ็ ใๆๅญ๏ผๅฆๆขฆๅฆๅนป๏ผๅฆ่ฏๅฆๆญใ
้ซ้ขๅผ็ฌฌไธๆน B ็ซ React Native ๅฎขๆท็ซฏ
Your own personal AI assistant. Any OS. Any Platform. The lobster way. ๐ฆ
Wechat Chat History Exporter ๅพฎไฟก่ๅคฉ่ฎฐๅฝๅฏผๅบๅคไปฝ็จๅบ
GitHub read-only mirror of ns-3-dev repository, will be kept in sync with main GitLab.com repository. Please DO NOT file pull requests here; instead, file issues and merge requests at https://gitlaโฆ
An unprofessional open-source Chinese font derived from Fontworks' Klee One. ไธๆฌพ้ไธไธ็ๅผๆบไธญๆๅญไฝ๏ผๅบไบ FONTWORKS ๅบๅๅญไฝ Klee One ่ก็ใ
Source Han Serif | ๆๆบๅฎไฝ | ๆๆบๅฎ้ซ | ๆๆบๅฎ้ซ ้ฆๆธฏ | ๆบใๆๆ | ๋ณธ๋ช ์กฐ
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
โจ AI-powered multi-agent system that automates childrenโs story writing, reviewing, and illustration using Google ADK & Gemini.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Benchmark of federated learning. Dedicated to the community. ๐ค
This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuously updated to track the frontier of FedLLM.
๐ Lightweight Federated Learning Framework ๐ | Simplifying federated learning experiments with a focus on algorithms not infrastructure | ๐งช Easy setup and run
An easy-to-use federated learning platform
scikit-learn: machine learning in Python
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
๐ฌ Deep learning system for classifying histopathology images from the "CRCHistoPhenotypes" dataset. Binary and multi-class cell classifications included. ๐งซ๐
๐ Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-constrained environments.