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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

augseg

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

cisc-r

[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation

data-visualization

Data Visualization with Python

deeplabv3-tensorflow

使用deeplab_v3模型对遥感图像进行分割

deeplearning-500-questions

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

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

geoseg

Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction

geoseg-1

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.

image_segmentation_dl

: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）。

knowledgegraphcourse

东南大学《知识图谱》研究生课程

lsst

The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation)

machine-learning

: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

maskclip

Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

ml-course-notes

🎓 Sharing machine learning course / lecture notes.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ov-seg

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

paper-reading

深度学习经典、新论文逐段精读

pass

The baseline method for LUSS task.

piwise

Pixel-wise segmentation on VOC2012 dataset using pytorch.

practice

python-data-viz-workshop

A 3-hour workshop on data visualization in Python with notebooks and exercises for following along.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

san

Open-vocabulary Semantic Segmentation

scan

[CVPR 2024] The repository contains the official implementation of "Open-Vocabulary Segmentation with Semantic-Assisted Calibration"

st-plusplus

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation