james-fu Goto Github PK

loan_default_prediction

This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"

log3c

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

logadvisor

Learning to log: A framework for determining optimal logging points [ICSE'15, ICSE'14]

loghub

A collection of system log datasets for massive log analysis

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine-learning-a-probabilistic-perspective-solutions

My solutions to Kevin Murphy Machine Learning Book

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

machine-learning-for-trading

machine-learning-for-trading-1

Machine learning techniques learned during CS 7646 applied to trading.

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machinejs

Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

machine_learning_examples

A collection of machine learning examples and tutorials.

machine_learning_for_trading

Coursework for GA Tech course CS 7646 ML4T summer 2017

mapreducealgorithms

Data-Intensive Text Processing with MapReduce

metaseq

Repo for external large-scale work

microsoft_malware_prediction_kaggle_2nd

This repository contains the winning solution (2nd place) of the Macrosoft Maleware Prediction Challenge on Kaggle.

mimn

mitmcanary

Tool/service to detect Man in the Middle attacks with Canary Requests

mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

mnist_png

MNIST converted to PNG format

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

multidimensional_root_cause_analysis

基于蒙特卡洛树（MCTS）的多维监控异常根因分析

nab

The Numenta Anomaly Benchmark

nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

nmap-cluster

Clustering NMAP XML results to help make sense of large scan results.

notebooks

Sample Notebooks for PipelineAI

notes-cs246

Object-Oriented Software Development - C++