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abstractivesummarization

Food Review Summarization

acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

advice

A repository of links with advice related to grad school applications, research, phd etc

aif360

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.

aix360

Open Source library to support interpretability and explainability of data and machine learning models

amr_library

Aimed at increasing the accessibility of AMR(Abstract Meaning Representation)

amrica

Visualize AMRs with inter-annotator disagreement and bitext alignment

autotnli-code

This repository contains the official code for the paper : Realistic Data Augmentation Framework for Enhancing Tabular Reasoning.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-mlss

List of summer schools in machine learning + related fields across the globe

bibtex-tidy

Cleaner and Formatter for BibTeX files

composer

Train neural networks up to 7x faster

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

conference_call_for_paper

2018-2019 International Conferences in Artificial Intelligence, Computer Vision, Data Mining, Natural Language Processing and Robotics

consistency

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

contextualize_scdv

Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021

conwea

Code for the paper "Contextualized Weak Supervision for Text Classification"

dakshina

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.

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

depthfirstlearning.com

dheeraj7596.github.io

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

dlp

docem

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

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.

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

gap-coreference

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.

grarep

Source Code of GraRep

gwbowv

Source code for Graded Weighted Bag of Word Model (Coling 2016)

half-size

Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD & RepL4NLP 2019 Workshop.