Rocuku

Rocuku's Stars

• mercari/DataflowTemplate

  Mercari Dataflow Template

  Language:Java6921

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.6k9.6k

• neologd/mecab-ipadic-neologd

  Neologism dictionary based on the language resources on the Web for mecab-ipadic

  Language:Shell2.7k290

• GlassyWing/bi-lstm-crf

  使用keras实现的基于Bi-LSTM + CRF的中文分词+词性标注

  Language:Python37684

• thunlp/ERNIE

  Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

  Language:Python1.4k267

• tamimmirza/Intrusion-Detection-System-using-Deep-Learning

  VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

  Language:Jupyter Notebook13456

• bdebye/thesisuestc

  ThesisUESTC-电子科技大学毕业论文模板

  Language:TeX1.4k327

• CynthiaKoopman/Network-Intrusion-Detection

  Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

  Language:Jupyter Notebook24693

• Jehuty4949/NSL_KDD

  NSL-KDD Dataset

  173115

• rkmalaiya/network_anomaly_detection_deep_learning

  This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

  Language:Jupyter Notebook168

• vinayakumarr/Network-Intrusion-Detection

  Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

  Language:Python677239

• khundman/telemanom

  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

  Language:Jupyter Notebook1k250

• mhagiwara/100-nlp-papers

  100 Must-Read NLP Papers

  3.8k566

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k3.2k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k9.6k

• AllanBishop/angular-img-cropper

  An image cropping tool for AngularJS. Features rectangular crop area, zooming, aspect ratios and multi-touch.

  Language:JavaScript174112

• lsdefine/attention-is-all-you-need-keras

  A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python709188

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.9k8k

• shuaihuaiyi/QA

  使用深度学习算法实现的中文问答系统

  Language:Python551231

• airalcorn2/Recurrent-Convolutional-Neural-Network-Text-Classifier

  My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

  Language:Python18366

• dmlc/gluon-nlp

  NLP made easy

  Language:Python2.6k535

• microsoft/MMdnn

  MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

  Language:Python5.8k965

• nmhkahn/MemN2N-pytorch

  Implementation of End-to-End Memory Network in PyTorch

  Language:Python10621

• anujdutt9/AI-Chatbot

  AI Chatbot using Dynamic Memory Network in Keras.

  Language:Python6620

• barronalex/Dynamic-Memory-Networks-in-TensorFlow

  Dynamic Memory Network implementation in TensorFlow

  Language:Python18080

• YerevaNN/Dynamic-memory-networks-in-Theano

  Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

  Language:Python332109

• swstarlab/DynamicMemoryNetworks

  Python implementation of DMN

  Language:Python6215

• ethancaballero/Improved-Dynamic-Memory-Networks-DMN-plus

  Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

  Language:Python16863

• siyuanzhao/key-value-memory-networks

  The implementation of key value memory networks in tensorflow

  Language:Python24866

• lc222/key-value-MemNN

  “Key-Value Memory Networks for Directly Reading Documents”的tensorflow实现方案，使用的数据集是MovieQA

  Language:Python4315