ptuls Goto Github PK
Name: Paul Tune
Type: User
Company: Canva
Bio: Ex academic, current ML engineer.
Twitter: ptuls
Location: Sydney
Blog: https://paultune.com
Name: Paul Tune
Type: User
Company: Canva
Bio: Ex academic, current ML engineer.
Twitter: ptuls
Location: Sydney
Blog: https://paultune.com
Alpha Zero equipped with Transformer with various novel techniques for speedup in tree search
Developing pricing models for Bitcoin
C++ Bloom Filter Library
A collection of data structures
Google Research
Hamiltonian Markov Chain (HMC) code for generating multivariate truncated Gaussian random variables with general covariance matrix and linear inequality constraints.
Code for model selection via five information criteria: Akaike's information criterion (AIC), the corrected AIC for finite length observations (AICc), Bayesian information criterion (BIC), two-stage Minimum Description Length (MDL) and normalized Minimum Description Length (nMDL). The dictionaries are the Frequency (Fourier) dictionary and the Frequency + Spike dictionary. Model selection is performed with Orthogonal Matching Pursuit or the simple Threshold method.
Technical report on the application of stochastic orders in network algorithmics.
:dart: Bloom filters for C++11
Survival analysis in Python
An open-source stock ranking and filtering tool based on the Magic Formula.
Code repository for "Spatiotemporal Traffic Matrix Synthesis", Paul Tune and Matthew Roughan, ACM SIGCOMM 2015, London, UK, August 2015.
Implementation of Spotify's Generalist-Specialist score on the MovieLens dataset.
Simulating the combination of multiarm bandits with the Kelly criterion for portfolio allocation
Network sensitivity design code from P. Tune and M. Roughan, "Network-Design Sensitivity Analysis", ACM SIGMETRICS 2014, Austin, Texas, USA.
Streaming and information work
A modern update to the Fader-Hardie contractual churn model with neural networks into the mix
NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
A bot to provide daily inspirational quotes emulating Haruki Murakami
JSON Processing of RICO Dataset
Mock tutorial for learning MCTS and Scala
Some examples in Scalaz
Composable pipelines in Apache Spark.
Gaussian Process Regression on Apache Spark
Playing around with detection on video.
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
Simple data wrangling of South Australia's wind generation production over 2015 till the present.
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.