xtma

xtma's Stars

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java104k56223913.1k

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript56.4k3925.5k8.3k

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python46.2k9037215.5k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python36.9k2195.6k4.5k

• microsoft/autogen

  A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

  Language:Jupyter Notebook36.5k4192.2k5.3k

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python32.2k2401.9k8.4k

• kuchin/awesome-cto

  A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

  26.1k711111.5k

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python21.1k1485722.1k

• wilsonfreitas/awesome-quant

  A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

  Language:Python18.6k703692.7k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.8k1111.1k1.7k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.7k3942994.3k

• ZachGoldberg/Startup-CTO-Handbook

  The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

  10.3k8511498

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.8k801481.9k

• hummingbot/hummingbot

  Open source software that helps you create and deploy high-frequency crypto trading bots

  Language:Python8.8k1603.2k3k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.6k775481.2k

• kernc/backtesting.py

  :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

  Language:Python5.7k1255061.1k

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.4k2964455

• nkaz001/hftbacktest

  A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

  Language:Rust2.1k5998417

• binance/binance-public-data

  Details on how to get Binance public data

  Language:Python1.6k36301492

• TradeMaster-NTU/TradeMaster

  TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

  Language:Jupyter Notebook1.5k4370300

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.4k10147230

• silahian/VisualHFT

  VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.

  Language:C#7723713161

• zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books

  This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

  Language:Jupyter Notebook4231726219

• abides-sim/abides

  ABIDES: Agent-Based Interactive Discrete Event Simulation

  Language:Python400180121

• No-Trade-No-Life/Yuan

  Yuan - Personal Investment Operating System

  Language:TypeScript31295741

• luodhhh/ModernTCN

  This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

  Language:Python2262929

• appl-team/appl

  🍎APPL: A Prompt Programming Language. Seamlessly integrate LLMs with programs.

  Language:Python208601

• ryoungj/ToolEmu

  [ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

  Language:Python1254513

• LeonardoBerti00/Axial-LOB-High-Frequency-Trading-with-Axial-Attention

  Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'

  Language:Jupyter Notebook483218

• GeneralTrader/TraderGPT

  Language:TypeScript61