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External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀FightingCV-Course
深度学习/计算机视觉/多模态/机器学习/人工智能零基础理论/实战教程汇总分享X-Dreamer
A pytorch implementation of “X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation”RepMLP-pytorch
Pytorch implement ion of RepMLPxmu-xiaoma666
X-Mesh
A pytorch implementation of “ X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance”SDATR
Official Code for "Knowing what it is: Semantic-enhanced Dual Attention Transformer" (TMM2022)ECCV2022-Paper-List
ECCV2022-Paper-ListLSTNet
Towards Local Visual Modeling for Image CaptioningImageCaptionMetrics
This repository contains 2 tools: - A py3 Lib for NLP & image-caption metrics - Code for a two-tailed t-test with paired samples. It will reveals whether the difference of two results is significant. In this code, we complete evaluation code for Spice details(*i.e.*,Object, Relation, Attribute, Color, Count, and Size ).CVAlgorithm
CV面试中的常见算法MFM
An official implementation for "Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning"Leetcode_diary
Leetcode is all you needPytorch-Image-Classification
Pytorch-Image-ClassificationAwesome-Model-Pytorch
pytorch implementation of deep learning modelsMultimodal-Open-O1
Multimodal Open-O1 (MO1) is designed to enhance the accuracy of inference models by utilizing a novel prompt-based approach. This tool works locally and aims to create inference chains akin to those used by OpenAI-o1, but with localized processing power.DTNet
The official repository for “Image Captioning via Dynamic Path Customization”.Beat
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