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Name: Martin Geissmann
Type: User
Company: Econovo LLC
Location: Switzerland
Blog: www.econovo.ch
Name: Martin Geissmann
Type: User
Company: Econovo LLC
Location: Switzerland
Blog: www.econovo.ch
Reviews of popular trading strategies
fork of https://github.com/stormy-ua/dog-breeds-classification
Some analysis of economics and world trade in R
getting data from srgssr polis-api and doing analysis
R Shiny app that demonstrates clickable images, feather file format, and csv saving user inputs
Lightweight fall detection based on human pose estimation
R package for accessing the FMP Cloud API
R package to analyze forex trade data
http://impressive.sourceforge.net/
exploring the stock market with R
2018 review of my 2012 Master's thesis on leveraged ETFs
map related animation and application
Market information dashboard based on data from fmpcloud.io
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
first steps with Apache Spark in R with sparklyr on a P2P loan dataset from mintos.com
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
A very simple generative adversarial network (GAN) in PyTorch
See how easy it is to download, visualize, manipulate stock market data with the <b>Quantmod</b> library and use all of it to build a complex trading model.
end-to-end self-driving car
Shiny app for feature selection in a linear model
A simple R Shiny app to classify Swiss hospitals according to their DRG positions using clustering and wordclouds
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.