Crawl accepted papers and citation data from ML/DL/NLP/CV/Robotics/Security/SE conferences

Semi-automated research assistant for academic research and software development. Supports Claude Code, OpenCode, and Codex CLI across ideation, coding, experiments, writing, and publication.

Codebase for Berkeley Humanoid Lite

Interactive Robot Assisted Suturing Simulation

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

An agentic skills framework & software development methodology that works.

Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like…

Code for "SINDy-RL for Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

Flow RL is a high-performance RL library with flow and diffusion models.

Tools for accelerating safe exploration research.

A collection of algorithms and experiment tools for safe sim to real transfer in robotics.

PaperBanana: Automating Academic Illustration For AI Scientists

AirLLM 70B inference with single 4GB GPU

[ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.

JMP is a Mixed Precision library for JAX.

Develop your agent for generals.io!

The interface between probabilistic model checking and data-driven policy learning.

A Python implementation of ProVe. ProVe is a formal verifier for safety property for Artificial Neural Networks, presented at the 37th conference on Uncertainty in Artificial Intelligence.

RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.

Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"

Differentiable convex optimization layers

LLM inference in C/C++

Real-time webcam demo with SmolVLM and llama.cpp server

Scaling safe exploration to vision control

Code for AAMAS 2024 "Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation"

(T-IV) Dream to Drive with Predictive Individual World Model

Raster to Vector Graphics Converter

Code for Data Collection & Training in Sim+Real Envs: [RSS 2024] Natural Language Can Help Bridge the Sim2Real Gap