Z-Clark

Z-Clark's Stars

• logpai/loghub

  A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

  1.8k598

• jhwjhw0123/Imbalance-XGBoost

  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

  Language:Python30369

• BorgwardtLab/SAT

  Official Pytorch code for Structure-Aware Transformer.

  Language:Python24236

• jun-zeng/ShadeWatcher

  SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, Oakland'22

  Language:C++7515

• zhongyuchen/few-shot-text-classification

  Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

  Language:Python10829

• ShaneTian/Att-Induction

  Attention-based Induction Networks for Few-Shot Text Classification

  Language:Python457

• salesforce/logai

  LogAI - An open-source library for log analytics and intelligence

  Language:Python43163

• JRC1995/Dynamic-Memory-Network-Plus

  Implementation of Dynamic Memory Network Plus for Question-Answering. Tested on Induction tasks of bAbi 10K dataset.

  Language:Jupyter Notebook9

• d0ng1ee/logdeep

  log anomaly detection toolkit including DeepLog

  Language:Python398116

• tigerFF/Log2vec

  Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise

  2113

• lizitong67/log2vec

  Language:Python51

• logpai/logparser

  A machine learning toolkit for log parsing [ICSE'19, DSN'16]

  Language:Python1.6k551

• renmengye/few-shot-ssl-public

  Meta Learning for Semi-Supervised Few-Shot Classification

  Language:Python552100

• analyticalmindsltd/smote_variants

  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

  Language:Jupyter Notebook631137

• blue-blue272/fewshot-CAN

  Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

  Language:Python20741

• YiteWang/MetaNTK-NAS

  Language:Python122

• rucmlcv/IEPT_FSL

  Language:Python344

• tata1661/FSL-Mate

  FSL-Mate: A collection of resources for few-shot learning (FSL).

  Language:Python1.7k288

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420

• hengruizhang98/CCA-SSG

  Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

  Language:Python687

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k604

• fyancy/MetaFD

  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

  Language:Python13128

• Fafa-DL/Lhy_Machine_Learning

  李宏毅2021/2022/2023春季机器学习课程课件及作业

  Language:Jupyter Notebook6.2k1.6k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k623

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k785

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k324

• webshellpub/awsome-webshell

  webshell样本大合集。收集各种webshell用于webshell分析与发现。——www.shellpub.com

  Language:PHP21886

• JohnTroony/php-webshells

  Common PHP webshells you might need for your Penetration Testing assignments or CTF challenges. Do not host the file(s) on your server!

  Language:PHP1.9k774

• tanjiti/webshellSample

  webshell sample for WebShell Log Analysis

  Language:PHP415199

• tennc/webshell

  This is a webshell open source project

  Language:PHP10.1k5.6k