- Poland
AI
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Build AI applications that can see, hear, and speak using your screens, microphones, and cameras as inputs.
Whisper Assistant is a powerful VSCode extension that allows developers to use their voice to develop software. Speech can be transcribed locally using the Whisper model or remotely using an API su…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
You Only Look Once for Panopitic Driving Perception.(MIR2022)
Open-source simulator for autonomous driving research.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
A curated list of awesome visual localization research works.
[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization
OneBEV: Using One Panoramic Image for Bird’s-Eye-View Semantic Mapping
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. http://panoptic-bev.cs.uni-freiburg.de
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Curate, Annotate, and Manage Your Data in LightlyStudio.
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics
Video Object Detection in Java with OpenCV + YOLO11 - full end-to-end tutorial