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Protocol Buffer Validation - Go, Java, Python, C++ and JS/TS
A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Serve, optimize and scale PyTorch models in production
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
TradingAgents: Multi-Agents LLM Financial Trading Framework
Code for the paper "Language Models are Unsupervised Multitask Learners"
精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
This is a wencai crawler.(i问财的策略回测接口的Pythonic工具包)
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型…
🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning.
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
Financial data platform for analysts, quants and AI agents.
Use LLMs to track and extract websites, RSS feeds, and social media
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)