References on Optimal Control, Reinforcement Learning and Motion Planning

Quadcopter racing simulator made with Unity3D

This repository is dedicated to the technical analysis of The Royal Game of Ur. We aim to answer: How much of the game is luck, and how much is skill?

The Royal Game of Ur is one of the oldest boardgames in the world, older than chess. In this projects I made an AI to play the game.

Companion repository for "Kernel Heterogeneity Improves Sparseness of Natural Images Representations"

The official PyTorch implementation of the IEEE/CVF CVPR Visual Anomaly and Novelty Detection (VAND) Workshop paper Are we certain it's anomalous?.

Open source real-time translation app for Android that runs locally

Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

Repository for our paper: FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning, Proceedings of the 12th International Conference on Learning Representations (ICLR)

Code for reproducing Manifold Mixup results (ICML 2019)

High-performance C++ library for multiphysics and multibody dynamics simulations

Custom OpenAI Gym environments based on PyChrono

Simple and readable code for training and sampling from diffusion models

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

Designing MPC for bluerov2 model

Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)

Some Principles of Maritime Strategy by Julian Corbett

Summary of the rules for the Fletcher Pratt Naval Wargame

ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.

We write your reusable computer vision tools. 💜

try to reimplement Euler based fluid

A lens editor and simulator for fun.

A 3D sparse LBM solver implemented using Taichi

Esoteric Palette Generator Mico-Lib Interpolating HSL Color in cartesian space

A curated list of awesome Taichi applications, courses, demos and features.

Welcome to Skoods

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

A curated list of awesome exploration RL resources (continually updated)