wangzhaobo Goto Github PK

3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

awesome-pentest

A collection of awesome penetration testing resources, tools and other shiny things

beginlearning

Practices for machine learning

datax

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

encoder_decoder

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

fbctf

Platform to host Capture the Flag competitions

google-ips

Google 全球 IP 地址库

is13

RNN for Spoken Language Understanding

jrnn

LSTM and GRU in JAVA

kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.

keras2java-lstm

How to use LSTM trained in Keras in your Java project.

leetcode

LeetCode题解，151道题完整版

leetcode-1

我的leetcode刷题记录

modtest

opensoc-streaming

Extensible set of Storm topologies and topology attributes for streaming, enriching, indexing, and storing telemetry in Hadoop.

poc2013

Power of Community 2013 conference special release of ICS/SCADA toolkit

pymodbus

Modbus Client and Server written in Python-2.7

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

rnn_python

python implementation of recursive neuron network

seq2seq

Sequence to Sequence Learning with Keras

seq2seq-1

Encoder-Decoder RNN implemented in Theano.

sequence-translation

RNN encoder/decoder model for sequence translation

sklearn2pmml

Python library for converting Scikit-Learn pipelines to PMML

test

This is a test

tig-cnns

the completion of CNNs by myself

vprnn

Visually-pushdown recurrent neural networks for learning nested data.