ashhher3

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-threat-intelligence

A curated list of Awesome Threat Intelligence resources

certbot

Certbot, previously the Let's Encrypt Client, is EFF's tool to obtain certs from Let's Encrypt, and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

corpkit

A toolkit for corpus linguistics

DataScience-Introduction-And-Practices

数据科学入门与实践

dnsdb-query

DNSDB query scripts

Dshell

Dshell is a network forensic analysis framework.

gcat

A fully featured backdoor that uses Gmail as a C&C server

glove.py

Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes

Gutenberg

A simple interface to the Project Gutenberg corpus.

machine-learning

常用机器学习算法的实践笔记，持续更新！

matlab_backup

minpy

Pure NumPy practice with third-party operator integration

moloch

Moloch is a open source large scale full PCAP capturing, indexing and database system.

paper-notes

Random notes on papers, likely a short-term repo.

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pytextrank

A pure Python impl of TextRank for document summarization

recurrentjs

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

RNNSharp

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types of RNNs, such as BPTT and LSTM RNN, forward and bi-directional RNNs, and RNN-CRF.

spark-perf

Performance tests for Spark

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

tagger

Named Entity Recognition Tool

theano-rnn

Demonstration of recurrent neural network implemented with Theano

ViZDoom

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:

volatility

An advanced memory forensics framework

webshellSample

webshell sample for WebShell Log Analysis