Stars
A curated list of resources for using LLMs to develop more competitive grant applications.
Create Epic Math and Physics Animations & Study Notes From Text and Images.
Interactive visualizations of the geometric intuition behind diffusion models.
[ICLR 2026] Trace Anything: Representing Any Video in 4D via Trajectory Fields
Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
Unified framework for robot learning built on NVIDIA Isaac Sim
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
A repo lists papers related to LLM based agent
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Inverse Dynamics Trajectory Optimization for Contact-Implicit Model Predictive Control
[ICCV 2023] ARNOLD: Language-Grounded Robot Manipulation with Continuous Object States in Realistic 3D Scenes
Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models
this repository accompanies the book "Grokking Deep Learning"
A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css
A curation of awesome portfolio website ideas for developers and designers to draw inspiration from. Raise a pull request to add more. 💜
My personal portfolio website built using React and three js
Next.js + MDX blog template with Tailwind CSS and TypeScript.
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
An index of algorithms for learning causality with data
Compress a PPTX file, converting all PNG/TIFF images to lossy JPEGs
A list of open-source, affordable, less-known, or visionary robotics projects.
A modern, high customizable, responsive Jekyll theme for documentation with built-in search.
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation