[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
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COLMAP - Structure-from-Motion and Multi-View Stereo
- structure-from-motion
- multi-view-stereo
- reconstruction
- geometry
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- deep-learning
- pytorch
- grad-cam
- visualizations
Universal grid map library for mobile robotic mapping
- ros
- grid-map
- mapping
- terrain
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
- natural-language-processing
- nlp
- roadmap
- probability-statistics
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
:zap: The Mobile Robot Programming Toolkit (MRPT)
- mrpt
- c-plus-plus
- mobile-robotics
- slam
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Web labeling tool for bitmap images and point clouds
- labeling-tool
- machine-learning
- manual-annotations
- semantic-segmentation
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
- convolutional-neural-networks
- motion-tracking
- color-detection
- face-detection
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance. Includes a local web UI to prepare inputs, review masks, preview generations, and export with original audio.
Train a deep learning net with OpenStreetMap features and satellite imagery.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
- 3d-object-detection
- lidar-point-cloud
- bevmap
- center
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
- tensorflow
- matconvnet
- depth-maps
- depth-prediction
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
- slam
- lidar
- lidar-point-cloud
- localization
:hospital: Medical Text Mining and Information Extraction with spaCy
- natural-language-processing
- medical-natural-language-processing
- machine-learning
- metamap
Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
- cvpr2020
- autonomous-driving
- perception
- motion-prediction
A GPU (CUDA) based Artificial Neural Network library
- self-organizing-map
- cuda
- c-plus-plus-11
- propagation-network
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif