[ICLR 2026] A framework to "create benchmarks" and "evaluate AI co-scientists" in experimental data-driven real-world scientific research.

A game-based system for scientific hypothesis refinement

Hierarchical Reasoning Model Official Release

Framework enabling modular interchange of language agents, environments, and optimizers

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and…

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

A language agent gym with challenging scientific tasks

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

A curated list of awesome LLM agents frameworks.

Ontology Access Kit: A python library and command line application for working with ontologies

A simulator for single-cell expression data guided by gene regulatory networks

Symbolic analysis of discrete dynamical systems

ORbit Counting Algorithm

A Parallel Graphlet Decomposition Library for Large Graphs

Ensemble learning with graph neural networks for disease module discovery and classification

Discovering novel cell types across heterogenous single-cell experiments

Hyperbolic Graph Convolutional Networks in PyTorch.

Practical Cheminformatics Tutorials

Code for the manim-generated scenes used in 3blue1brown videos

Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes

An easy-to-use reinforcement learning library for research and education.

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Inte…

Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""

Hyperbolic Knowledge Graph embeddings.

Applied Computational Genomics Course at UU: Spring 2020

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Notes and links from the book club meetings