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Name: Aditya Vikram
Type: User
Bio: - Digital Technology Intern @ GE Digital. - Working in the Data Analytics space - Passionate about Data Science and Machine Learning technologies
Location: Tempe
Name: Aditya Vikram
Type: User
Bio: - Digital Technology Intern @ GE Digital. - Working in the Data Analytics space - Passionate about Data Science and Machine Learning technologies
Location: Tempe
Aditya Vikram
The repo contains python code for churn modelling in keras. It is part of the homework challenge from Udemy course - Deep Learning A-Z.
Deep learning with cats (^._.^)
Java Convolutional Neural Network example for Hand Writing Digit Recognition
An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.
The repo contains basic projects in Python using scikit-learn.
A deep conv. generative adversarial network trained on nebula and images of space
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 GAN made Tensorflow that generates 128 x 128 pixels images
The "Python Machine Learning (2nd edition)" book code repository and info resource
Jupyter Notebooks for the Python Data Science Handbook
The repo would be used for the SER 515 project.
Building an image classifier in a simple way using Keras.
Transformer Based SeqGAN for Language Generation
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.