ewards Goto Github PK

14cs2007

android-malware-datasets

Popular Android malware datasets

clearcut

Clearcut is a tool that uses machine learning to help you focus on the log entries that really need manual review

cybersecurity-miw

Cybersecurity Mobile Investigation Workstation, a C++ Map-Reduce for Log Analysis

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

dlfn

Deep Learning for Networking

ewards.github.io

flowtbag

Calculate flow statistics from a given network capture file.

jupyterlab

JupyterLab computational environment.

malwaremustdie

Automatically exported from code.google.com/p/malwaremustdie

multiboost

The MultiBoost package is a multi-class / multi-label / multi-task classification boosting software implemented in C++.

nta-meta-analysis

pd-intro-to-github

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

text_classification

all kinds of text classificaiton models and more with deep learning

training-kit

Open source on demand courses and cheat sheets for Git and GitHub

try_git

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow