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active-learning

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

activelearningframeworktutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

ada-ugnn

A Unified View on Graph Neural Networks as Graph Signal Denoising

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

agnn

Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.

ai-interview-cards

最完整的AI算法面试题目仓库，1000道，25个类目

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

algorithm515

This is for graduate course Cpts515_WSU

algorithmsbook

Preview of the textbook Algorithms for Decision Making

algowiki

总结算法刷题套路，在线阅读：

amie

Mavenized AMIE+Typing

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

arules

Mining Association Rules and Frequent Itemsets with R

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

astgcn-pytorch

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

attribute-driven-backbone-

Backbones refer to critical tree structures that span a set of nodes of interests. Attributed backbones capture dynamics in edge cost model and it specifies affinitive attributes for each edge.

attributed-graph-data

Attributed graph datasets with ground truth clusters

awesome-ai-data-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-gnn-papers

awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-graph-self-supervised-learning

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.