alexxiao007

alexxiao007's Stars

• pmixer/SASRec.pytorch

  PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

  Language:Python34993

• SpaceLearner/Awesome-DynamicGraphLearning

  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

  Language:Shell57480

• amazon-science/fraud-dataset-benchmark

  Repository for Fraud Dataset Benchmark

  Language:Jupyter Notebook12925

• nusdbsystem/forkbase

  An Efficient Storage Engine for Blockchain and Forkable Applications

  Language:C++2311

• wannature/COMIC

  Pytorch implementation of Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels

  Language:Python221

• nusdbsystem/falcon

  Language:C++379

• Deepayan137/DeepClustering

  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

  Language:Python12823

• WangXuhongCN/APAN

  Language:Python6014

• open-review-toolkit/open-review-toolkit

  Open Review Toolkit: Better books, Higher sales, Increased access to knowledge

  Language:HTML3413

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.8k414

• xmu-xiaoma666/External-Attention-pytorch

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

  Language:Python11.4k1.9k

• cool-squad/cool

  COOL Source Code

  Language:Java2015

• wangshusen/DeepLearning

  Language:TeX3.7k828

• nusdbsystem/ARM-Net

  A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.

  Language:Python7313

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.4k253

• shentianxiao/text-autoencoders

  Language:Python20443

• YingtongDou/CARE-GNN

  Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

  Language:Python24652

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k330

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.2k1.3k

• AlbertBJ/tensorflow-summary

  summarized the api usage of tensorflow

  Language:Jupyter Notebook305

• benedekrozemberczki/APPNP

  A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

  Language:Python36349

• xbresson/spectral_graph_convnets

  PyTorch implementation of spectral graph ConvNets, NeurIPS’16

  Language:HTML29168

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k774

• leilani-x/2019-GraphNeuralNetworksPaperList

  Graph Neural Networks Paper List of 2019 Conferences

  208

• P3n9W31/transformer-pytorch

  Transformer model for Chinese-English translation.

  Language:Python416

• apache/singa

  a distributed deep learning platform

  Language:C++3.4k1.2k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k1.8k

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python156k52.3k

• ooibc88/FabricSharp

  Enhanced Hyperledger Fabric

  Language:Go13547