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Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

Source code syntax highlighting for OneNote 2016 and OneNote for O365 . NoteHighlight 2013 port for OneNote 2016 (32-bit and 64-bit)

保存的各种各样的好用的软件！

🌈Bilibili_video_download-B站视频下载

Graph-Based Semi-Supervised Learning, with scikit-learn

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Using a hybrid model of supervised learning and label propagation for prediction of stock prices direction of movement

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Semi-supervised learning algorithms based on manifold graph structure

Structured Graph Learning via Laplacian Spectral Constraints (NeurIPS 2019)

A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems

My personal notes

A plugin that will automatically download PDFs of zotero items from sci-hub

Training neural models with structured signals.

Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

A semisupervised classification method with Label Propagation in Optimal Leading Forest

📄 Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

Code and examples for my paper

Experiments comparing the UMAP graph construction method with other graph construction methods for semi-supervised learning

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Learning When To Trust Your Neighbors: Robust Graph-Based Semi-Supervised Learning

Repository of Analysis of Label Noise in Graph-Based Semi-Supervised Learning

Semi Supervised Learning on Graphs using Pytorch

Python package for graph-based clustering and semi-supervised learning