Stars
cubao / Open3D
Forked from isl-org/Open3DSee `releases` for binary wheels for ubuntu 16.04
WebGL point cloud viewer for large datasets
Ongoing Construction Site Dataset for Place Recognition
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
SpatialLM: Large Language Model for Spatial Understanding
🪄 Create rich visualizations with AI
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
The lazier way to manage everything docker
Turns Data and AI algorithms into production-ready web applications in no time.
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Image and Text-based Clustering for Industrial Machine Parts
Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.
Piping-and-Instrumentation Diagrams (P&ID) and ChatGPT chatlogs from sessions generating control logic with GPT-4V
Customizable implementation of the self-instruct paper.
Align 3D Point Cloud with Multi-modalities for Large Language Models
[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
Instant neural graphics primitives: lightning fast NeRF and more
Unpaired line drawing generation
Official Pytorch repository for Deep Vectorization of Technical Drawings https://arxiv.org/abs/2003.05471
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)
A PyTorch Implementation of a Large Margin Deep Networks for Classification