Data Analytics and Intelligence Research (DAIR) Group, IIT Delhi (@dair-iitd)
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dair-iitd

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  • Stars
    star
    1,105
  • Global Org. Rank 14,040 (Top 5 %)
  • Registered about 9 years ago
  • Most used languages
    Python
         81.3 %
    C++
         6.3 %
    GAP     4.2 %
    Shell
         2.1 %
    PostScript     2.1 %
    Java
         2.1 %
    HolyC     2.1 %
  • Location 🇮🇳 India
  • Country Total Rank 616
  • Country Ranking
    HolyC     1
    PostScript     1
    GAP     2
    Python
         204
    Shell
         1,026
    C++
         2,222

Top repositories

1

OpenIE-standalone

PostScript
559
star
2

openie6

OpenIE6 system
Python
118
star
3

imojie

Neural generation model for Open Information Extraction
Python
81
star
4

CaRB

CaRB - A Crowdsourced Benchmark for Open IE
Python
38
star
5

KBI

Python
24
star
6

tkbi

Python
23
star
7

dl-with-constraints

Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
Python
21
star
8

jeebench

JEEBench, EMNLP 2023
Python
16
star
9

BossNet

BossNet: Disentangling Language and Knowledge in Task Oriented Dialogs
Python
16
star
10

ECQA-Dataset

Dataaset Release for Explanations for CommonsenseQA, ACL 2021 Paper
Python
14
star
11

DSRE

Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
Python
13
star
12

DeGPR

Python
13
star
13

FloNet

Code for "End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs"
Python
12
star
14

DiS-ReX

Python
10
star
15

nsrmp

NSRM: Neuro-Symbolic Robot Manipulation
Python
10
star
16

FloDial

9
star
17

ilploss

official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"
Python
9
star
18

ECQA

Code Repository for the Explanations for CommonsenseQA, ACL 2021 paper
Python
8
star
19

moie

Python
8
star
20

kglr

Python
8
star
21

NS-KGC-AUG

Python
8
star
22

symnet

Python
7
star
23

torpido

Planning using Reinforcement Learning
Python
7
star
24

PoolingAnalysis

[EMNLP'20][Findings] Official Repository for the paper "Why and when should you pool? Analyzing Pooling in Recurrent Architectures."
Python
7
star
25

OxKBC

State-of-the-art models for Knowledge Base Completion (KBC) for large KBs (such as FB15k1and YAGO) are based on tensor factorization (TF), e.g, DistMult, ComplEx. While they produce2good results, they cannot expose any rationale behind their predictions, potentially reducing the3trust of a user in the outcome of the model. Previous works have explored creating an inherently4explainable model, e.g. Neural Theorem Proving (NTP), DeepPath, MINERVA, but explainability5in them comes at the cost of performance. Others have tried to create an auxiliary explainable6model having high fidelity with the underlying TF model, but unfortunately, they do not scale well7to large KBs. In this work, we proposeOXKBC– anOutcome eXplanation engine forKBC,8which provides a post-hoc explanation for every triple inferred by a (uninterpretable) factorization9based model. It first augments the underlying Knowledge Graph by introducing weighted edges10between entities based on their similarity given by the underlying model. It then defines a notion11of human-understandable explanation paths along with a language to generate them. Depending12on the edges, the paths are aggregated into second–order templates for further selection. The best13template with its grounding is then selected by a neural selection module that is trained with minimal14supervision by a novel loss function. Experiments over Mechanical Turk demonstrate that users15overwhelmingly find our explanations more trustworthy compared to rule mining.
Shell
7
star
26

MPdialog

Python
6
star
27

Guided-Prompting-SAM

Official Repo for "Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images"
Python
6
star
28

TourismQA

Python
5
star
29

pronci

Code for the paper: "Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds (EMNLP 2022)
Python
4
star
30

CDNet

Python
4
star
31

asap-uct

This repository contains all source files corresponding to a novel MDP Planner - which combines abstractions/symmteries and UCT
C++
4
star
32

mokb6

ACL 2023 (main): Multilingual Open Knowledge Base Completion
Python
4
star
33

output-space-invariance

Source code for Neural Models for Output-Space Invariance in Combinatorial Problems
Python
3
star
34

LocationTagger

This repository provides a Location Tagger, for identifying locations, using a BERT-CRF Tagger. It creates a Location chunk using IOB tags when it finds one or more location words.
Python
3
star
35

ZGUL

Python
3
star
36

symnet2

Python
2
star
37

octopus

Octopus: Cost-Quality-Time Optimization in Crowdsourcing
C++
2
star
38

con-mcmc

This repository maintains code base for contextual symmeties framework! "Contextual Symmetries in Graphical Models" Ankit Anand, Aditya Grover, Mausam and Parag Singla , International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.
GAP
2
star
39

trapsnet

Python
1
star
40

kbi-regex

Python
1
star
41

trine

This page is under progress! Will be updated soon !
Java
1
star
42

oga-uct

On-the-Go Abstractions in UCT
C++
1
star
43

sa-flonet

Python
1
star
44

symnet3

Python
1
star
45

1oML_workdir

Working directory for the paper Neural Learning One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Python
1
star
46

nc-mcmc

GAP
1
star
47

Conjunction-Splitting

Conjunction splitting and its analysis
HolyC
1
star
48

FlexAE

Code for the paper "FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders"
Python
1
star
49

SpatialReasoner

This repository presents a detailed study of a spatial-reasoner using a simple artificially generated toy-dataset. This allows us to probe and study different aspects of spatial-reasoning in the absence of textual reasoning.
Python
1
star