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Name: Shankar Kumar
Type: User
Company: CARIAD
Bio: Applied Machine Learning Enthusiast
Location: Hamburg, Germany
Name: Shankar Kumar
Type: User
Company: CARIAD
Bio: Applied Machine Learning Enthusiast
Location: Hamburg, Germany
Accelerated implementation of the SVM algorithm on an embedded SoC with changes to the algorithm structure to accommodate learning from large volumes of data in an incremental manner with approximations to the computations.
Activity Recognition using a Linear Classifier based on Accelerometer Data
AES Encryption
ArtistAssistApp - the web app to paint better with ease. Tools for realistic color mixing based on real paints, tonal value drawing, simplified sketching, and more. Perfect for artists of all levels and styles, whether you prefer watercolor or oil, realism or loose techniques, landscapes or portraits. Try it now!
Custom Helper Class that encapsulates common functions for llm deployments on VMs.
The aim of the hack was to deliver AI-powered solutions which could inform medical research, policymaking and knowledge dissemination on the pandemic, as well as raising awareness among the public, to investigate the hidden knowledge inside a World Health Organisation dataset summarising Covid-19 daily-case and death-rates from each reporting country.
Arduino code for synchronizing the phase and speed of a pseudo co-axial drone rotor configuration.
An FAQ dataset generation system that considers noun phrases and verb phrases as the answers, and a QA SQuaD Style dataset generation system that uses this data to train a BERT based QA system.
Game of Life
Gaussian Processes for Regression
Predicting the likely Home and Work locations of a person based on Clustering and GPS coordinates
Molecules are the actual building blocks of all fragrances. We take these molecular compounds as an input, parse them through, and predict what multitude of fragrances they contain out of 100+ different ones.
The Lincoln Agri-Robotics Poinsettia Challenge is a machine learning and computer vision competition to devise intelligent ways to identify features that contribute to rating the "best" poinsettia
The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.
To increase transparency and efficiency in intralogistics, we are looking for a solution to classify moving boxes in a production area. By using the latest 2D-Lidar technologies powered by Pepperl+Fuchs, you will generate valuable insights. Get creative and pull out anything of your machine learning toolbox!
A Platooning demonstrator consisting of a convoy of 1/10 scale RC cars. Deep Learning and Computer Vision concepts utilized and system implemented on the Jetson Nano.
Simpler reimplementation of Pose Estimation with HRNets using a Top Down Approach.
SV2TTS as a Microservice (FastAPI endpoint)
Recognize named entities on Twitter with LSTMs
Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.
Similarity Measures for Music Loop Projects in the Music Maker JAM Application
Simulated Annealing for the Travelling Salesman Problem
Predict tags on StackOverflow with linear models
Showcasing Transfer Learning with the Inception V3 on the Stanford 40 Actions Dataset
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.