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An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents (ICLR 2024)
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capa…
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
A set of Gazebo worlds models and maps that I used for testing Navigation2
Learn fundamental knowledge in robotics
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
The lazier way to manage everything docker
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
DORA (Dataflow-Oriented Robotic Application) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed data…
A modern resume template written in Typst, inspired by Awesome-CV
A new markup-based typesetting system that is powerful and easy to learn.
An index of algorithms for reinforcement learning from human feedback (rlhf))
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch