Autoware - the world's leading open-source software project for autonomous driving

[ECCV 2026] WorldMesh: Generating Navigable Multi-Room 3D Scenes via Mesh-Conditioned Image Diffusion

🎥 Curated list of outstanding terminal recording tools to enhance your CLI demonstrations and tutorials.

A platform for reproducible world model research and evaluation

[ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

Pytorch implementation of PCT: Point Cloud Transformer

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

Unstyled, accessible UI components for your design System. Works in React, Vue, Solid, and Svelte.

Beautiful map components. 100% Free, Zero config, one command setup.

Free-Text Promptable Universal 3D Medical Image Segmentation

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

A React Rich Text Editor that's block-based (Notion style) and extensible. Built on top of Prosemirror and Tiptap.

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

[NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

[CVPR 2025] MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning

[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Official implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration (SIGGRAPH 2025)