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Name: Sourabh Kulkarni
Type: User
Company: University of Massachusetts Amherst
Bio: Hardware/Software Research in AI
Location: Amherst, MA
Name: Sourabh Kulkarni
Type: User
Company: University of Massachusetts Amherst
Bio: Hardware/Software Research in AI
Location: Amherst, MA
GPU and TPU implementation of parallelized ABC inference for a stochastic epidemiology model for COVID-19
A new ABC-SMC algorithm developed for efficient state-space exploration in massively parallel simulation-based inference methods.
A repository for the python codes to carry out the ABC-SMC model selection and parameter inference in the paper "Competitive binding of STATs to receptor phospho-Tyr motifs accounts for altered cytokine responses". The data files required for the analysis are also included along with the results, presented in the paper.
Experimenting with adversarial images for deep NNs
BBSVL, BBSVI of factor analysis model for finding topics in the NIPS conference papers. Used autograd for automatic gradient computation.
Chain CRFs for optical character recognition
Protection against adversarial attacks with non-adversarial image prior reconstruction
Modelling, inference and learning of a heart disease bayes net
Simple linear regression to predict stock prices. Uses Quandl, pandas and scikitlearn
Platform for building access networks and modular network services
A Markov Chain Monte Carlo based sampler for inference in Markov Networks
This repository is MLP implementation of classifier on MNIST dataset with PyTorch
PyJAGS: The Python Interface to JAGS
A tutorial for getting started with PPLs and Pryo
Pytorch implementation of convolutional neural network adversarial attack techniques
Markov Chain Monte Carlo inference and stochastic maximum likelihood learning for restricted BoltzmannMachines (RBMs)
A parallel ODE solver for PyTorch
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at University of Southern California (USC) in the Fall 2017 Semester.
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.