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Name: Vivek Gupta
Type: User
Company: Graduate Student
Bio: Interested in Machine Learning and Natural Language Processing research
Location: University of Utah
Name: Vivek Gupta
Type: User
Company: Graduate Student
Bio: Interested in Machine Learning and Natural Language Processing research
Location: University of Utah
Food Review Summarization
ACL2020 Tutorial: Open-Domain Question Answering
A repository of links with advice related to grad school applications, research, phd etc
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Open Source library to support interpretability and explainability of data and machine learning models
Aimed at increasing the accessibility of AMR(Abstract Meaning Representation)
Visualize AMRs with inter-annotator disagreement and bitext alignment
This repository contains the official code for the paper : Realistic Data Augmentation Framework for Enhancing Tabular Reasoning.
:books: List of awesome university courses for learning Computer Science!
List of summer schools in machine learning + related fields across the globe
Cleaner and Formatter for BibTeX files
Train neural networks up to 7x faster
Statistics of acceptance rate for the main AI conference
2018-2019 International Conferences in Artificial Intelligence, Computer Vision, Data Mining, Natural Language Processing and Robotics
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021
Code for the paper "Contextualized Weak Supervision for Text Classification"
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.
A list of recent papers regarding deep reinforcement learning
Generate Diverse Counterfactual Explanations for any machine learning model.
The repository contains the code and notebooks for the tutorials on how to extract embedding features from pictures using the ResNext model. The quality and effectiveness of the techniques are proved by the clustering in the embedding space and the correlation of clusters with their corresponding labels.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.
Source Code of GraRep
Source code for Graded Weighted Bag of Word Model (Coling 2016)
Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.
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.