murtyshikhar Goto Github PK
Name: Shikhar Murty
Type: User
Bio: CS PhD Student at Stanford, working on language understanding and Deep Learning
Twitter: ShikharMurty
Location: Stanford, California
Blog: murtyshikhar.github.io
Name: Shikhar Murty
Type: User
Bio: CS PhD Student at Stanford, working on language understanding and Deep Learning
Twitter: ShikharMurty
Location: Stanford, California
Blog: murtyshikhar.github.io
Quick and dirty code for Sport programming/Interview problems.
An open-source NLP research library, built on PyTorch.
Adaptive mesh refinement algorithms as part of Summer research project,2015
Course projects for AI (COL333) - Spring 2015
A system for generating training labels via natural language explanations
Sense specific word embeddings for polysemic words
Fast implementation of Burrows-Wheeler Transformation using Suffix Arrays
Code for assignments from cs231N/Convolutional Neural networks for visual recognition
Design, evolve, and train neural type systems.
A nifty piece of code for Multiplying a huge sparse matrix with a vector using the power of GPUs and distributed computing
Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
A symbolic differentiation engine for Polynomials
A complete daily plan for studying to become a Google software engineer.
Implementation of Graphical models along with inference and learning in a series of 3 assignments
Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"
Source code for all models from our IJCAI 2018 Paper "Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for Knowledge Base Inference"
Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
It's an elevator simulator!
A complete daily plan for studying to become a machine learning engineer.
Personal Website
Course projects for NLP (COL772) - Spring 2016
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
Code for Pushdown Layers from our EMNLP 2023 paper
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
Stores paper references, outputs to bib/html, does basic sanity checking on bib entries
Default final project
Code for our ACL '23 paper titled "Grokking of Hierarchical Structure in Vanilla Transformers"
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.