A distributed hydrology-guided neural network model for streamflow prediction

🕸️ Web apps in pure Python 🐍

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

Documentation that simply works

pix2tex: Using a ViT to convert images of equations into LaTeX code.

A Python library for common hydrological functions

Implementation of a language-level autograd compiler

Jupyter Notebooks for the Python courses

Shallow water simulations with Trixi.jl

Code for "A Deep State Space Model for Rainfall-Runoff Simulations"

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models

A package for the sparse identification of nonlinear dynamical systems from data

DSPy: The framework for programming—not prompting—language models

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

Hydrological Benchmark Dataset for LLMs

[AAAI'25] Code for the paper "FIDLAR: Forecast-Informed Deep Learning Approaches for Flood Mitigation".

A next-generation differentiable and GPU-accelerated land model in the Julia programming language.

Positron, a next-generation data science IDE

Python library designed to integrate Kolmogorov Arnold Networks with recurrent mechanisms.

A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior. See included link for full manuscript.

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

Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

Model for estimation of Hydraulic Properties and Rating Curves in Regular and/or Irregular Cross-Sections

环境流体力学的作业，实现了一个自动识别下游节点的小工具，并用遗传算法对管网参数进行校核

Turns Data and AI algorithms into production-ready web applications in no time.

The NSGA2 algorithm is used to solve the multi-objective optimization problem, and the optimal scheduling objectives include minimizing ecological water demand and maximizing power generation effic…