chi2liu

chi2liu's Stars

• IFCA-Advanced-Computing/frouros

  Frouros: an open-source Python library for drift detection in machine learning systems.

  Language:Python19915

• epfml/sent2vec

  General purpose unsupervised sentence representations

  Language:C++1.2k256

• Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

  Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  Language:Jupyter Notebook433115

• ymirsky/Kitsune-py

  A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

  Language:Python32098

• viral98/seq2seq-anomaly-detection

  A Natural Language Processing based approach to detect malicious HTTP requests.

  Language:Python113

• SPriyal/PAYL

  Anomalous Payload-based Network Intrusion Detection

  Language:Python5

• chwan1016/awesome-gnn-systems

  A list of awesome GNN systems.

  Language:Python28926

• microsoft/DeepGNN

  DeepGNN is a framework for training machine learning models on large scale graph data.

  Language:Python12432

• MITIBMxGraph/SALIENT

  The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining".

  Language:C++387

• MITIBMxGraph/SALIENT_artifact

  Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"

  Language:C++243

• GraphSAINT/GraphSAINT

  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  Language:Python47687

• tensorflow/gnn

  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

  Language:Python1.4k180

• oj9040/GraphSAGE_RL

  Advancing GraphSAGE with A Data-driven Node Sampling

  Language:Python257

• zhao-tong/GNNs-easy-to-use

  An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.

  Language:Python595

• cornell-zhang/GraphZoom

  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

  Language:Python11415

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

  Language:HTML20.8k2.2k

• ashrafgt/k8s-gpu-hpa

  Horizontal Pod Autoscaling for Kubernetes using Nvidia GPU Metrics

  302

• baidu-research/DeepBench

  Benchmarking Deep Learning operations on different hardware

  Language:C++1.1k237

• Souvik-Mandal-Harvard/ES_GPU

  Language:Jupyter Notebook31

• cnclabs/smore

  SMORe: Modularize Graph Embedding for Recommendation

  Language:C++37482

• annoviko/pyclustering

  pyclustering is a Python, C++ data mining library.

  Language:Python1.2k248

• l3lackcurtains/fast-cuda-gpu-dbscan

  :star2: CUDA-DClust+: Fast DBSCAN algorithm implemented on CUDA. Based on the research paper.

  Language:Jupyter Notebook94

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k247

• benedekrozemberczki/BoostedFactorization

  An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

  Language:Python3613

• aravindsankar28/DySAT

  Representation learning on dynamic graphs using self-attention networks

  Language:Python28543

• gregversteeg/LinearCorex

  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

  Language:Python4213

• georgekatona/Clique

  Python implementation of the CLIQUE subspace clustering algorithm.

  Language:Python5315

• rymc/n2d

  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

  Language:Python12921

• shahsohil/DCC

  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

  Language:Python21053

• Deepayan137/DeepClustering

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

  Language:Python13323