Showing 41-60 of 369 projects
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A collaboration-friendly studio for building NeRF-based 3D reconstructions using PyTorch and other ML tools.
Kornia is a Python library for geometric computer vision and spatial AI tasks.
COLMAP is an open-source Structure-from-Motion and Multi-View Stereo library for computer vision and 3D reconstruction.
Point Cloud Library (PCL) is a powerful open-source library for 3D computer vision and point cloud processing.
An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.
Content-aware image resize library for Go that uses seam carving and edge detection algorithms.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
openFrameworks is a cross-platform toolkit for creative coding in C++, used by developers building multimedia and interactive applications.
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A comprehensive repository for computer vision best practices, code samples, and documentation.
OpenVINO is an open-source toolkit for optimizing and deploying AI inference on a variety of hardware.
LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.
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 robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
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