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This repository allows reproduction of Poetiq's record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.
The Mesh Navigation Stack: Efficient Mobile Robot Navigation in Uneven Terrain
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
💫 Toolkit to help you get started with Spec-Driven Development
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Official inference repo for FLUX.1 models
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Visual Perception Engine: fast and flexible framework designed to run multiple perception models in an optimized and concurrent manner on NVIDIA Jetson
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Refine high-quality datasets and visual AI models
Zero-Drift Point Cloud Mapping using Map Priors
Open Source Machine Learning Research Platform designed for frontier AI/ML workflows. Local, on-prem, or in the cloud. Open source.
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
[RAL'24] Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.