2 रिपॉजिटरी
Awesome GitHub RepositoriesFeature Extractors
Using pre-trained models to extract high-level semantic representations from input data.
Distinct from Pre-training Transfer Learning: Specifically focuses on using a fixed model for feature extraction rather than the broader process of fine-tuning for transfer learning
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Feature Extractors. Refine with filters or upvote what's useful.
Awesome Feature Extractors GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- nvidia/fastphotostyle
NVIDIA/FastPhotoStyle
11,179GitHub पर देखेंFastPhotoStyle is an AI image stylization tool and deep learning style transfer framework. It functions as a feature-based image transformer that applies the artistic visual characteristics of a reference image to a target photograph using deep neural networks. The project implements real-time image stylization by utilizing a feed-forward network. This allows the system to execute transformations in a single pass rather than using iterative optimization. The framework covers AI photo editing and deep learning visual effects, specifically focusing on the transformation of image textures and c
Uses a fixed pre-trained encoder to extract semantic feature maps necessary for the style transfer process.
Python - tingsongyu/pytorch-tutorial-2nd
TingsongYu/PyTorch-Tutorial-2nd
4,555GitHub पर देखेंThis project is a comprehensive instructional resource and course for building neural networks using PyTorch. It covers the fundamental building blocks of deep learning, including tensor manipulation, automatic differentiation, and the construction of modular neural network components. The repository serves as a technical guide for several specialized domains. It provides implementation details for computer vision tasks such as image classification, object detection, and semantic segmentation, as well as natural language processing workflows involving transformers, recurrent networks, and gen
Uses specialized loss functions to organize embedding vectors for improved image similarity search.
Jupyter Notebookcomputer-visiondeepsortdiffusion-models
