[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
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
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
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
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.
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
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
: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
🗺️ Developer Roadmaps — 20 career paths, 870+ topics, 1,880+ free resources. PWA, certifications, community-driven. Your free guide from beginner to senior dev.
An example app that demos how to use TFLite to do automatic speech recognition on-device
The open-source map of the AI developer tooling ecosystem
Translated🗺️ Research Data Map — AI-driven global research visualization platform | Research Data Map with 250M+ papers
- academic
- ai
- china
- cloudflare-workers