MurtyShikhar
CS PhD Student at Stanford, working on language understanding and Deep Learning
Stanford, California
Pinned Repositories
TypeNet
A Hierarchical Type system for fine grained entity typing
ExpBERT
Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
Hierarchical-Typing
Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"
LanguagePatching
Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
Pushdown-Layers
Code for Pushdown Layers from our EMNLP 2023 paper
Question-Answering
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
robustqa
Default final project
structural-grokking
Code for our ACL '23 paper titled "Grokking of Hierarchical Structure in Vanilla Transformers"
Such-ML
Collection of Machine learning and NLP paper summaries
TreeProjections
Tool to measure tree-structuredness of the internal algorithm learnt by a transformer
MurtyShikhar's Repositories
MurtyShikhar/Question-Answering
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
MurtyShikhar/Hierarchical-Typing
Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"
MurtyShikhar/ExpBERT
Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
MurtyShikhar/Pushdown-Layers
Code for Pushdown Layers from our EMNLP 2023 paper
MurtyShikhar/NNetnav
Interaction-first method for generating demonstrations for web-agents on any website
MurtyShikhar/structural-grokking
Code for our ACL '23 paper titled "Grokking of Hierarchical Structure in Vanilla Transformers"
MurtyShikhar/LanguagePatching
Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"
MurtyShikhar/TreeProjections
Tool to measure tree-structuredness of the internal algorithm learnt by a transformer
MurtyShikhar/Such-ML
Collection of Machine learning and NLP paper summaries
MurtyShikhar/KBI
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"
MurtyShikhar/robustqa
Default final project
MurtyShikhar/google-interview-university
A complete daily plan for studying to become a Google software engineer.
MurtyShikhar/Algorithms
Quick and dirty code for Sport programming/Interview problems.
MurtyShikhar/DReCA
MurtyShikhar/allennlp
An open-source NLP research library, built on PyTorch.
MurtyShikhar/babble
A system for generating training labels via natural language explanations
MurtyShikhar/deeptype
Design, evolve, and train neural type systems.
MurtyShikhar/Distributed-VecXMat
A nifty piece of code for Multiplying a huge sparse matrix with a vector using the power of GPUs and distributed computing
MurtyShikhar/expressivo
A symbolic differentiation engine for Polynomials
MurtyShikhar/GraphicalModels
Implementation of Graphical models along with inference and learning in a series of 3 assignments
MurtyShikhar/lift-sim
It's an elevator simulator!
MurtyShikhar/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
MurtyShikhar/MurtyShikhar.github.io
Personal Website
MurtyShikhar/neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
MurtyShikhar/pushdown
MurtyShikhar/refdb
Stores paper references, outputs to bib/html, does basic sanity checking on bib entries
MurtyShikhar/tufte-jekyll-trial
Minimal Jekyll blog styled to resemble the look and layout of Edward Tufte's books
MurtyShikhar/vim
my vim configuration
MurtyShikhar/website-2
Trial website 2
MurtyShikhar/website-new
New website trial