rishabhmisra Goto Github PK
Name: Rishabh Misra
Type: User
Bio: ML Engineer | Book Author | UCSD Alum | Interests: Applied ML, NLP, Ranking & Recommendation
Twitter: rishabh_misra_
Location: San Francisco, CA
Blog: rishabhmisra.github.io
Name: Rishabh Misra
Type: User
Bio: ML Engineer | Book Author | UCSD Alum | Interests: Applied ML, NLP, Ranking & Recommendation
Twitter: rishabh_misra_
Location: San Francisco, CA
Blog: rishabhmisra.github.io
Book Buddy: Interactive Storytelling using a Gemma-based RAG 📖
Source code for some of the programming problems at CodeChef
Skeleton application for demo'ing Firebase to CSE 110 (Software Engineering) students
Chrome extension that shows definition of various Machine Learning concepts in the form of cards when a new tab is opened
Prediction of helpfulness of reviews on Amazon using Amazon product review data
Implementation of a Hierarchical RNN with attention mechanism for predicting the ratings using reviews
Recommendation of top 5 hotel clusters to users based on their search history
High quality dataset for the task of Sarcasm Detection
Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.
Prediction of rating of items from Amazon product review dataset using latent factor model
Build a Jekyll blog in minutes, without touching the command line.
This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.
SBMF is a MCMC Gibbs sampling algorithm for MF having linear time complexity wrt the target rank and linear space complexity wrt the number of non-zero observations
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
Jointly modeling aspects, ratings, and sentiment with temporal dynamics for rating prediction.
Blog post on how Markov models of language are used to predict the text
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.