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Name: Alex Soares
Type: User
Company: Google
Bio: Computer Engineer working with Machine Learning applied to all kinds of solutions to hard problems.
Location: United States
Name: Alex Soares
Type: User
Company: Google
Bio: Computer Engineer working with Machine Learning applied to all kinds of solutions to hard problems.
Location: United States
Predicting stock price by using Hidden Markov model
My second place solution to the Higgs Boson Machine Learning Challenge
Code to transform Hillary's emails from raw PDF documents to a SQLite database
Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
Bash script to install Honeypot projects ona Raspbian System
Security oriented fuzzer with powerful analysis options. Supports evolutionary, feedback-driven fuzzing based on code coverage (software- and hardware-based)
Self contained htaccess shells and attacks
A python toolbox for visualizing and manipulating high-dimensional data
Full C++ implementation of I2P client
Estimators for Information Theoretic Functionals using Influence Functions
This was my solution for Kaggle recommendation challenge. It achieves 85% accuracy without the usage of the extra information. https://inclass.kaggle.com/c/aalto-music-listening-prediction
code for the paper "Improved Techniques for Training GANs"
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
A python library for conducting interleaving, which comparing two or multiple rankers based on observed user clicks by interleaving their results.
Linear-time interpretable nonparametric two-sample test
ip6.arpa scanner
Source for ipwnstuff.com
This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.
kaggle
2nd Place Solution in Kaggle Airbnb New User Bookings competition
2nd place solution for Avazu click-through rate prediction competition
Code for the Kaggle Ensembling Guide Article on MLWave
Kaggle solver
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
Template to generate winning emails for Kaggle contests
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.