ResTianTian

ResTianTian's Stars

• steveneale/relation_extractor

  Tool for training relation extraction models with an attention-based bidirectional LSTM architecture, implemented using TensorFlow.

  Language:Python1

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.4k1.1k

• weizhepei/CasRel

  A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

  Language:Python774140

• funtimes-ninja/malware

  Malware samples from honeypots

  Language:Shell7026

• ZW-ZHANG/RobustGCN

  This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.

  Language:Python103

• appseed-projects2/71ddf804-5014-4b8c-9a45-aa80f1e93b93

  Soft Ui Dashboard Flask - Generated Seed Project (Open-Source) | AppSeed

  Language:SCSS1

• dmlc/dgl

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

  Language:Python13.6k3k

• JoshuaWu1997/PyTorch-DDPG-Stock-Trading

  An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.

  Language:Python289

• vy007vikas/PyTorch-ActorCriticRL

  PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

  Language:Python39864

• sherlockHSY/Reinforcement_learning_with_pytorch

  Implement some algorithms of RL

  Language:Python4510

• sol0invictus/RL_Codes

  Reinforcement Learning code for various projects

  Language:Python115

• benfinkelshtein/SINGLE

  Single-Node Attack For Fooling Graph Neural Networks

  Language:Python82

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k432

• nikeluobinxiaoma/Learning-Based-PE-Malware-Family-Classification-Methods

  Language:Python113

• facebookresearch/text-adversarial-attack

  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"

  Language:Python10012

• jackaduma/NLP4CyberSecurity

  NLP model and tech for cyber security tasks

  Language:Jupyter Notebook8528

• Lyc4on/Malwasm

  Malwasm is a command-line tool that detects the usage of WASM in websites and performs analysis to determine if the WASM files contain any malicious functions.

  Language:Python8

• Chrisable/gcn-demo

  Semi-Supervised classification with Graph Convolution Networks using Pytorch

  42

• Alexei-Lipov/h-mgcnn

  Multiscale Graph Convolutional Neural Network using Hierarchical Clustering

  Language:Python1

• ToughStoneX/DGCNN

  a pytorch implimentation of Dynamic Graph CNN(EdgeConv)

  Language:Python7714

• leftthomas/DGCNN

  A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

  Language:Python6216

• antao97/dgcnn.pytorch

  A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

  Language:Python727151

• WangYueFt/dgcnn

  Language:Python1.7k427

• DeepLearnPhysics/dynamic-gcnn

  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

  Language:Python6311

• muhanzhang/pytorch_DGCNN

  PyTorch implementation of DGCNN

  Language:Python374123

• muhanzhang/DGCNN

  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

  Language:Matlab17444

• nguyenlab/DGCNN

  Language:Python3214

• axt/angr-utils

  Handy utilities for the angr binary analysis framework, most notably CFG visualization

  Language:Python27946

• axt/cfg-explorer

  CFG explorer for binaries

  Language:JavaScript7914

• angr/angr

  A powerful and user-friendly binary analysis platform!

  Language:Python7.7k1.1k