🧠 Enhance your AI projects with Deep Think API, offering OpenAI-compatible interfaces for deep and ultra reasoning modes.

🩺 Enable real-time segmentation of multimodal biomedical images with the light-weight CFPNet-M network for improved medical analysis and diagnostics.

🔍 Discover your architecture automatically with this AI-powered system designed for educational purposes and portfolio showcasing.

🩺 Segment lungs from COVID-19 X-ray images using advanced deep learning techniques like U-Net and MobileNet-U-Net for improved accuracy and efficiency.

🗓️ Build responsive web applications with ease using React, HTML, CSS, and JavaScript, focusing on user-centered design and performance optimization.

🌍 Discover advancements in 3D scene understanding with LiDAR techniques for semantic and panoptic segmentation, plus occupancy prediction.

📂 Extract, embed, cluster, and securely store Korean text from documents using BERT, enhancing research efficiency and organization.

🌍 Segment drone images in the Baylands using a U-Net model for precise multi-class identification of paths and roads.

🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.

A cryptographic governance protocol for AI systems that enforces safety and policy constraints on model reasoning before outputs are generated, and produces verifiable audit trails for regulators, customers, and internal risk teams.

Like SMPL but for bugs

YOLOv8 object detection and U-Net segmentation for waste classification on TACO dataset

Um ecossistema open-source para Engenharia Semântica Latente (SLE). Transforme prompts em vetores validados matematicamente. O Hub oferece notebooks prontos para uso (Google Colab) para validação de agentes, rastreamento de experimentos e reprodutibilidade científica sem custos de infraestrutura.

Segmentação de Tumores Cerebrais com U-Net e PyTorch. Pipeline completo com Data Augmentation avançado, treino com precisão mista e Dice Score de ~0.85.

Open source Python library for building bioimage analysis pipelines

A pytorch-compatible module to rankseg based segmentation inference methods.

End-to-end UNet3D stack for volumetric medical segmentation: training utilities, FastAPI inference API, Streamlit review UI, Docker deployment, and a model card. Upload NIfTI volumes, get masks back, and visualize slices/IoU plots from experiments. Built for reproducible research and production-grade serving

Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Label Studio is a multi-type data labeling and annotation tool with standardized output format