Lists (2)
Stars
Python library to create hydrological models for rainfall-runoff prediction using deep learning methods
AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim and Neovim.
Curated list of open resources that make our lives as (eco-)hydrologists easier or just more awesome
Awesome Open Atmospheric, Ocean, and Climate Science
This is a LaTeX template with a minimalist design that you can use for your presentations in Beamer.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Package to compile versions of the CAMELS-DE dataset. https://camels-de.org/camels_de/
Vim plugin for integrating Ollama based LLM (large language models)
Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…
Awesome-LLM: a curated list of Large Language Model
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Python library to train neural networks with a strong focus on hydrological applications.
A game theoretic approach to explain the output of any machine learning model.
Structured state space sequence models
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
A collection of learning resources for curious software engineers
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
SuperflexPy: The flexible language of hydrological modelling
A curated list of modern Generative Artificial Intelligence projects and services
🌎 Simple and fast watershed delineation in python.