yuanqiuzhuang

yuanqiuzhuang's Stars

• getlantern/download

  Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw

  17k3k

• gcamfer/Anomaly-ReactionRL

  Using RL for anomaly detection in NSL-KDD

  Language:Jupyter Notebook11646

• littlepretty/NetLearner

  Deep Learning Tool for Off-line Network Intrusion Detection System

  Language:Python246

• CynthiaKoopman/Network-Intrusion-Detection

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

  Language:Jupyter Notebook24293

• CodeMonkeyActivity/kdd-cup-99-Analysis-machine-learning

  Network Intrusion Detection Model Using KDD-CUP

  Language:Python3

• 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 Notebook1k249

• AFAgarap/gru-svm

  [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

  Language:Python15539

• vinayakumarr/Network-Intrusion-Detection

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

  Language:Python670238

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k51.1k

• ethereum-mining/ethminer

  Ethereum miner with OpenCL, CUDA and stratum support

  Language:C++6k2.3k

• liyinwei/copper_price_forecast

  copper price(time series) prediction using bpnn and lstm

  Language:Python10246

• jaungiers/Multidimensional-LSTM-BitCoin-Time-Series

  Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

  Language:Jupyter Notebook335120

• ijkguo/mx-rcnn

  Parallel Faster R-CNN implementation with MXNet.

  Language:Python671290

• LantaoYu/SeqGAN

  Implementation of Sequence Generative Adversarial Nets with Policy Gradient

  Language:Python2.1k711

• CR-Gjx/LeakGAN

  The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

  Language:Python577181

• qiniu/android-sdk

  Qiniu Resource (Cloud) Storage SDK for Android

  Language:Java625226

• lqxue/QiNiuTest

  七牛云存储图片,demo目前主要是完成了单张图片的上传,以后会不定时更新!!!

  Language:Java62

• xiaolonw/adversarial-frcnn

  A-Fast-RCNN (CVPR 2017)

  Language:Python482168

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.4k4.2k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.5k22.5k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• llSourcell/How-to-Predict-Stock-Prices-Easily-Demo

  How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

  Language:Jupyter Notebook771590

• cypw/DPNs

  Dual Path Networks

  Language:Python537150

• BenjiKCF/Neural-Net-with-Financial-Time-Series-Data

  This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

  Language:Jupyter Notebook752312

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python16k6.6k

• zhanggyb/nndl

  Another Chinese Translation of Neural Networks and Deep Learning

  Language:TeX1.2k339

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.3k7.3k

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.7k9.1k

• junyuseu/fine-tuning

  Fine-tuning an already learned model, adapts the architecture to other datasets

  Language:Python2835

• Arsey/keras-transfer-learning-for-oxford102

  Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

  Language:Python270108