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Cosmos-Reason1 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Continuous Thought Machines, because thought takes time and reasoning is a process.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
[DEIMv2] Real Time Object Detection Meets DINOv3
Notebooks for RAG improving workshop, using HackerNews data
[MICCAI 2025] Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
An image retrieval model for any localization task
Integrating histology and spatial transcriptomics - NeurIPS 2024
Official code release for Delta Activations: A Representation for Finetuned Large Language Models
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
[ICCV 2025 Oral] MVTracker: Multi-view 3D Point Tracking
Make your calibration dreams come true. ros2_calib is a Multi-Sensor Calibration Tool using ROS2 mcap recordings with direct URDF export.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Henry: Hugo theme meant for a gorgeous reading experience and packed with features
Blueprint for Ingesting massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
🔥 Clone and recreate any website as a modern React app in seconds
Import your LeRobot format dataset into FiftyOne format
Complete solutions to the Programming Massively Parallel Processors Edition 4
Train transformer language models with reinforcement learning.