Mastering Diverse Domains through World Models

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Repository relating to "Reinforcement Learning Meets Visual Odometry" (ECCV, 2024).

Implementation of Autoregressive Diffusion in Pytorch

Learning to optimize (L2O) package that provides basic functionalities to help fit proxy models for optimization.

Sometimes all you need is a good readme.

A code formatter for Julia with rules set in stone.

Proximal algorithms for nonsmooth optimization in Julia

Reinforcement learning algorithms for MuJoCo tasks

code for "PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction"

Demo-Driven Mobile Bi-Manual Manipulation Benchmark.

C++ Implementation of the SQPnP algorithm

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…

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

Jokes

No-code GUIs for Julia (but you can code if you like)

Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dy…

Input Convex Neural Networks

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

A Julia package for solving multi-objective optimization problems

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

The Standard ROS JavaScript Library

Statically sized tensors and related operations for Julia

[RA-L 2023] Fast nonprehensile object transportation with model predictive control on a mobile manipulator.

MCTS-based Parallel Sampling for Risk Estimation