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Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
MAV planning tools using voxblox as the map representation.
A Matlab toolbox for nonlinear optimization using symbolic tensor calculus
Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"
A curated list of Diffusion Model in RL resources (continually updated)
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator (NeurIPS 2024)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Reinforcement Learning-based Hybrid Policy Path Planning in Diverse Parking Scenarios
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
End-to-End Vectorized Autonomous Driving via Probabilistic Planning
EasyNN is a python package designed to provide an easy-to-use Neural Network. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
Real-time 3D collision detection for convex polyhedrons using the Gilbert–Johnson–Keerthi (GJK) algorithm
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.