开源的端到端产品级通用智能体

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

autonomous ai agents for trading in python

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

FinQwen: 致力于构建一个开放、稳定、高质量的金融大模型项目，基于大模型搭建金融场景智能问答系统，利用开源开放来促进「AI+金融」。

总结Prompt&LLM论文，开源数据&模型，AIGC应用

The official GitHub page for the survey paper "A Survey of Large Language Models".

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

ChatGPT 中文指南，ChatGPT 中文调教指南，指令指南，精选资源清单，更好的使用 chatGPT 让你的生产力 up up up!

深度学习经典、新论文逐段精读

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Algorithms for explaining machine learning models

Graph Neural Network Library for PyTorch

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Uplift modeling and causal inference with machine learning algorithms

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

L. M. Wolf and M. Baum, "Continuous Herded Gibbs Sampling"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. papers, codes. datasets, applications, tutorials.-迁移学习

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Python implementation of the rulefit algorithm

多维监控异常根因分析，复现论文ISSRE 2019 REG paper 'Generic and Robust Localization of Multi-Dimensional Root Cause'.