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Name: aicaicai
Type: User
Name: aicaicai
Type: User
AI education materials for Chinese students, teachers and IT professionals.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
整理知识图谱相关学习资料
A summary of recent semi-supervised semantic segmentation methods
[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
Data Visualization with Python
使用deeplab_v3模型对遥感图像进行分割
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Few Shot Semantic Segmentation Papers
Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
:bread: 基于深度学习方法的图像分割(含语义分割、实例分割、全景分割)。
[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
北京知识图谱学习小组
knowledge graph知识图谱,从零开始构建知识图谱
东南大学《知识图谱》研究生课程
The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation)
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
🎓 Sharing machine learning course / lecture notes.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
深度学习经典、新论文逐段精读
The baseline method for LUSS task.
Pixel-wise segmentation on VOC2012 dataset using pytorch.
A 3-hour workshop on data visualization in Python with notebooks and exercises for following along.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.