Repo dedicated to materials from the "LLMs for Science" class taught in Spring 2026 at the CUNY Graduate Center.

LangGraph re-implementation of cmbagent deep research. Start: planner ↔ plan_reviewer propose-critique loop with self-hosted Langfuse tracing.

Safely build your data analysis scripts and pipelines with AI agents in a secure container, confirm the results, and sync with remote resources

A List of Papers on Theoretical Foundations of Graph Neural Networks

Multi-container Denario research scientists on OpenClaw

My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.

Practices for improving quality and manageability of LLM co-created code-bases.

Multi-agent system for research, powered by ag2

Example papers created with Denario

Modular Multi-Agent System for Scientific Research Assistance

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

aider is AI pair programming in your terminal

NeHOD: Neural network for HOD modeling

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

Mamba SSM architecture

This repository contains demos I made with the Transformers library by HuggingFace.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Platform for designing and evaluating Graph Neural Networks (GNN)

A fast GPU based bispectrum estimator implemented using JAX

A collection of resources and papers on Diffusion Models

Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

A game theoretic approach to explain the output of any machine learning model.

Genetic Programming in Python, with a scikit-learn inspired API

emulating massive neutrinos

python package to measure power spectrum and bispectrum