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Name: Naga Anjaneyulu
Type: User
Company: Terra Economics and Analytics Lab
Location: New Delhi
Name: Naga Anjaneyulu
Type: User
Company: Terra Economics and Analytics Lab
Location: New Delhi
Web services use FaaS on Google Cloud for processing and visualizing textual data from books
Webservices using FaaS ,Vision API for facial and landmark detection in images.
Coursera Certificates
Eye Detection and coloring using OpenCV in Java .
Computed Focus metrics by implementing brenner's algorithm in C++ using OpenCV.
Facial recogniton and smile detection using openCV.
Developed an API which leverages graph-based cross domain ranking , community detection to make recommendations from a heterogeneous graph ecosystems.
I have used an inverted CNN as a generator and CNN as a Discriminator .Firstly,Trained the discriminator using real images , then with fake images through the 3 channels provided by the generator.Used ReLU activation for forward propogation in Generator network, LeakyReLU for forward propogation in Discriminator network and then computed the losses using binary cross entropy and update the weights through backpropogation .Check Results folder for generated images .
I have extracted keywords from a pdf document using gensim .
Machine Learning Use Cases .
Implemented distributed map-reduce system and deployed microservices for mapper ,reducer, master nodes on cloud VMs for building a dynamic data processing service.
I have used a pre tarined SSD neural network which can dectect over 8 objects for object detection.The SSD network detects objects in a drone vedio which has 67 frames using Pytorch .
Parts of speech tagging through recurrent neural netowrks in Tensorflow.
Restaurant Recommendation system
ResNet -50 _ Transfer Learning
Full stack containerized services deployed on GCP using REST, ReactJS, Flask, Docker for registering user's self assessment data, evaluating the algorithm for course recommendation.
Skip gram model modification for the Word2Vec model using the negative sampling
StyleTransfering .
TerraGoat is Bridgecrew's "Vulnerable by Design" Terraform repository. TerraGoat is a learning and training project that demonstrates how common configuration errors can find their way into production cloud environments.
Implemented transfer learning in keras with the example of training a 3 class classification model using VGG-16 pre-trained weights.The vgg-16 isthe CNN model trained on more than a million images of 1000 different categories.
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.