Showing 261-280 of 326 projects
A PyTorch implementation of the DeepLab v3+ semantic segmentation model, allowing developers to train their own models.
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
A Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
A robust, efficient, and adaptable toolkit for segmenting text into sentences or other semantic units.
This repository provides hands-on examples and guidance for building, training, deploying and maintaining deep learning models in production.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
A Node.js-based Chinese word segmentation module for developers building text processing applications.
A comprehensive survey on Meta AI's Segment Anything Model (SAM), a powerful computer vision tool.
A background removal tool powered by a deep learning model, designed for image and video editing.
An out-of-the-box library for extracting human parsing representations from images using deep learning.
A universal SMM platform for Telegram with features like segmented messaging, user verification, and chat automation.
Code for a deep learning-based instance segmentation model designed for real-time performance.
StarDist is an object detection library for bioimage analysis and cell segmentation using deep learning.
A low-level library for understanding the internal workings of Intel and AMD CPUs.
Provides ComfyUI nodes to use the Segment Anything Model for advanced image segmentation.
A framework for data augmentation for 2D and 3D image classification and segmentation tasks.
A general object foundation model for computer vision tasks in images and videos at scale
A research project for Mesh R-CNN, a deep learning model for 3D object detection and segmentation.
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