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An open-source Python library for image augmentation in machine learning experiments.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
Browser extension to skip YouTube video sponsors
Advanced AI Explainability library for computer vision models built with PyTorch.
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
Evergreen is a React UI framework by Segment, providing a set of high-quality React components for building modern web applications.
A library of pre-trained Chinese word vectors for natural language processing tasks.
Unsupervised text tokenizer for neural network-based text generation and natural language processing.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
Semantic segmentation benchmark and evaluation framework for AI-powered developers
This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
CoreNLP is a comprehensive NLP toolkit that provides powerful language processing capabilities for Java developers.
An open-source, large language model-based multimodal dialogue system that achieves near-GPT-4o performance.
U^2-Net is a deep learning-based salient object detection library for Python that can be used for image processing and background removal.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
A unified framework for machine learning with time series in Python, focused on forecasting, anomaly detection, and more.
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 collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
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