A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Elevate your AI research writing, no more tedious polishing ✨

Edit Banana: A framework for converting statistical formats into editable.

使用符号回归在中国股市与加密市场上进行高效因子挖掘。

[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat

Finalist solution for the 2025 Tencent Advertising Algorithm Competition (Generative Recommendation Challenge)

curated repository of literature across various fields im interested in

FinRL®: Financial Reinforcement Learning. 🔥

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版

A curated list of awesome resources about multimodal recommender systems.

Patched Attention for Nonlinear Dynamics

[ICLR 2023] Factorized Fourier Neural Operators

Work-in-progress

A Python library for signal decomposition algorithms

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024

Let your Claude able to think

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A easy to use implementation of xLSTM

xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"

Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis