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Name: Preethi Srinivasan
Type: User
Company: sahaj.ai
Bio: Building Data Science solutions at sahaj.ai. Completed MS (by Research) in Computer Vision from IIT Mandi.
Location: Bangalore
Name: Preethi Srinivasan
Type: User
Company: sahaj.ai
Bio: Building Data Science solutions at sahaj.ai. Completed MS (by Research) in Computer Vision from IIT Mandi.
Location: Bangalore
Sementation and GenAI
Bayesian Classifier for 3 types of data on 4 different scenarios of Covariance matrices. Data types: i) Linearly Separable Data, ii) Non Linearly Separable Data and iii) Real World Data. 4 scenarios are i) Covariance matrices of all 3 matrices are same and equal to kxI ii) Full Covariance matrices are all 3 classes are equal. iii) Covariance matrix is diagonal and different for each class. iv) Covariance matrix is full and different for each class.
Lets build a model from scratch into a Transformer architecture.
Clustering using KMeans and GMM algorithms.
Computer Vision assignments on Image Transformation, Estimation of Transformation Matrix, Estimation of Fundamental Matrix and Estimation of blur from depth.
Digital Image Processing assignments on Image Corrections, Filters, ICM and others.
Template matching for variable sequence length using Dynamic Time warping and Hidden Markov Model algorithm.
Denoising Lowdose CT Scan
Finetune Densenet_121 trained on Imagenet on public XRay data available at NIH. This is expected to help with better feature extraction for XRay classification.
Predict the outcome of a football match
Pixel wise segmentation of Iris using Encoder-Decoder architecture and the interpretation of the model's decision using Layer-wise Relevance Propagation (LRP) algorithm.
K-Nearest Neighbor( kNN) is a non- parametric algorithm which is used for classification as well as density estimation.
Medical Imaging techniques for Transformation and Inference using Deep Learning
Deploy ML model end to end
Semantic features aided multi scale reconstruction of inter modality MR Images.
Comparision of classification performance on data projected using FDA, Perceptron and SVM algorithms.
Principal Component Analysis (PCA) technique is used to reduce the dimension of the data while keeping the information of the original features as close as possible.
Reconstruct an all-focused image from several de-focused images.
Research code for CVPR 2022 paper "SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning"
Hierarchical X-Ray Report Generation via Pathology tags and Multi Head Attention
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.