alxsoares Goto Github PK

kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

kali-nethunter

The Kali NetHunter Project

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kaslr-bypass-via-prefetch

A proof-of-concept KASLR bypass for the Linux kernel via timing prefetch (dilettante implementation, better read the original paper: https://gruss.cc/files/prefetch.pdf)

kdd2013authorpaperidentification

Benchmark and sample code for the Author Paper Identification Challenge on Kaggle, a part of the 2013 KDD Cup

kernel-exploits

A bunch of proof-of-concept exploits for the Linux kernel

kvae

Kalman Variational Auto-Encoder

l2r

exploration of some learning to rank ideas

learning2rank

Learning to rank with neuralnet - RankNet and ListNet

lerot-sclp

libffm

A Library for Field-aware Factorization Machines

lidr

Library for Distributed Retrieval

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

limbo

A lightweight framework for GP-based Bayesian optimization of black-box functions (C++-11)

linear-regression

Python code for the post "Linear Regression"

linregvb

Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"

linux-kernel-exploitation

A bunch of links related to Linux kernel fuzzing and exploitation

livermore

(again) Bitcoin trading system

logistic_regression-for-ctr-predict

for fun,logistic regression of ctr prediction

lsstc-dsfp-sessions

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

ltr_letor

Learning to Rank on letor data

m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-practice

machinelearningstocks

Using python and scikit-learn to make stock predictions

march-machine-learning-mania-2016

masscan-web-ui

MASSCAN Web UI

math-algorithms

Complex mathematical algorithms.

metasploit-framework

Metasploit Framework