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Name: Lazaros Zografopoulos
Type: User
Company: University of St Andrews
Bio: PhD Candidate in Finance | MSc Applied Economics | BSc Economics
Location: St Andrews, Scotland
Name: Lazaros Zografopoulos
Type: User
Company: University of St Andrews
Bio: PhD Candidate in Finance | MSc Applied Economics | BSc Economics
Location: St Andrews, Scotland
A regression solver for linear and quantile regression models and lasso based penalizations'
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Conformal classifiers, regressors and predictive systems
A python library for easy manipulation and forecasting of time series.
Tools for Descriptive Statistics and Exploratory Data Analysis
An open-access benchmark and toolbox for electricity price forecasting
:exclamation: This is a read-only mirror of the CRAN R package repository. filling — Matrix Completion, Imputation, and Inpainting Methods
forecast package for R
Probabilistic time series modeling in Python
Fit interpretable models. Explain blackbox machine learning.
Deep Learning for humans
Feature selection in neural networks
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A scikit-learn-compatible module for estimating prediction intervals.
Merlion: A Machine Learning Framework for Time Series Intelligence
Scalable machine 🤖 learning for time series forecasting.
Scalable and user friendly neural :brain: forecasting algorithms.
Python SDK for TimeGPT
Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
Open source time series library for Python
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A python toolbox / library for data mining on partially-observed time series, supporting tasks of forecasting / imputation / classification / clustering on incomplete (irregularly-sampled) multivariate time series with missing values.
All Algorithms implemented in Python
For calculating global feature importance using Shapley values.
A game theoretic approach to explain the output of any machine learning model.
Explaining the output of machine learning models with more accurately estimated Shapley values
A unified framework for machine learning with time series
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.