Showing 81-100 of 1,001 projects
A powerful user-agent detection library for client-side and server-side web development.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
A comprehensive repository for computer vision best practices, code samples, and documentation.
Official implementation of the paper 'Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection'.
A high-performance rigid body physics and collision detection library written in C++ for games and VR applications.
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
An open-source, low-code machine learning library in Python for building and training machine learning models.
U^2-Net is a deep learning-based salient object detection library for Python that can be used for image processing and background removal.
A React Native camera component that supports barcode scanning and other camera-related features.
A unified framework for machine learning with time series in Python, focused on forecasting, anomaly detection, and more.
A robust, efficient, and low-latency speech-to-text library with advanced voice activity detection and wake word activation.
An open-source project that uses deep learning and OCR to translate text in manga/images
An implementation of the YOLOv9 object detection model, a state-of-the-art computer vision AI.
A fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Easy-to-use image segmentation library with pre-trained models for tasks like semantic, panoptic, and 3D segmentation.
A neural network library for speaker diarization, including speech activity detection, speaker change detection, and speaker embedding.
A Python library for user-friendly forecasting and anomaly detection on time series data.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
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