janrth Goto Github PK
Type: User
Company: VOIDS || ex-Zalando | ex-Bayer
Bio: Data Scientist with Msc. in Economics and Msc. in Artificial Intelligence
Type: User
Company: VOIDS || ex-Zalando | ex-Bayer
Bio: Data Scientist with Msc. in Economics and Msc. in Artificial Intelligence
Applying XG Boost for multi-step forecasting
Building a neural net for a regression problem using pytorch. Plus parameter optimization using Ray.
Simple chat bot with training pipeline and pytorch 2 layers feed forward NN
CNN using Keras + visualisation of feature maps + saving logs for tensorbard
Simple calculation using probability rules for real world example
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
Overview of relevant git commands: pdf + tex file
Using real world health data to predict death from heart attack. Using feature interaction and an ensemble prediction from logistic regression, random forest classifier and xg boost classifier showing best results.
Using Numpy to implement gradient descent optimisation for Linear Regression.
Using Numpy to optimize the log-loss via gradient descent for a binary classifier.
Maximizing sales based on channel activities while taking in consideration a main constraint and diminishing marginal returns.
Time-series prediction using some SARIMA model
Using numpy to build own k-nn algorithm. Testing it on dummy data to show importance that train and test data is coming from the same underlying distribution.
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Applying pytorch-ts to univariate and multivariate use cases
Model based learning + various model free based learning examples
Quick sqlite3 example on how to create, insert and query databases.
Time-series cross-validation using Optuna, plus some forecasting errors.
10 years of UK traffic data. Classification task to identify fatality of an accident
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.