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LLMeBench
Benchmarking Large Language ModelsArabesque
Scalable Graph MiningdialectID
Automatic Dialect Detection RepositoryArabicASRChallenge2016
This repositoryDeepBlocker
Repository for performing Blocking using Deep Learning based on the paper "Deep Learning for Blocking in Entity Matching: A Design Space Exploration"FarasaSegmenter
sleep_awake_benchmark
This code is part of the paper ''A Large Scale Benchmark to Validate Sleep-Wake Scoring Algorithms'' currently under review.dialectal_arabic_resources
PDNS-Net
Passive DNS Dataset of Domain ResolutionsRDFframes
A python API for exposing and processing RDF data from sparql endpoints for data mining and machine learning models in convenient formats like Pandas dataframes.dialectal_arabic_tools
tasrif
Tasrif is a python library for processing of wearable data from fitness trackers and wearable health devicesArabic_speech_code_switching
The first Dialectal Arabic Code Switching - DACS corpus from broadcast speech. Annotated at the token-level, considering both the linguistic and the acoustic cues. This dataset is a potential benchmark for DCS in spontaneous speech.ArabicSpellChecker
dialectal_arabic_segmenter
Arabic Dialects Segmenter Using Keras/BiLSTM/ChainCRFe-wer
Word Error Rate EstimationQARiB
QLFactChecking
data_civilizer_system
dialectal_arabic_pos_tagger
coclean
CoClean: Collaborative Data Cleaningdeepemotion
Arabic emotion recognition using deep neural networksCMDL
Cross-Modal Data Discovery over Structured and Unstructured Data LakesmultiRefWER
datacivilizer2
The Data Civilizer end-to-end data preparation system - 2.0Kunafa
A python script using perf and PMU to monitor memory bandwidth, cache, and other performance metricsQADI
QCRI Arabic Dialect IdentificationRetClean
AI for Data PreparationEmbLookup
Repository containing implementation for the ICDE 2022 paper "Accelerating Entity Lookups in Knowledge Graphs Through Embeddings"EvaluationMetrics
Code to evaluate cqa runs in the ECML 2016 challenge on reranking questions in community question answeringgym-gharrafa
OpenAI Gym environment used in the KDD2019 Paper "Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios"QCAI-TransportaionGroup-TrImpute
qcri-svm-segmenter
Segmenter of dialectal Arabic developed by QCRI, ALT team and published in EACL 2017 and CONLL 2017DiplomaticPulse
WikiQAar
Cross-language English-Arabic corpus derived from WikiQAalt_public
ALT research group publicationsalt-hackathon-docs
QCRI Speech Recognition and Machine Translation API's for HackathonsPropagandaTechniquesAnalysisBERT
Text2TTP
A Tool for Semantic Ranking for Automated Adversarial Technique Annotation in Security Textdial-diac
A System for Diacritizing Four Varieties of Arabiccmuqhack2017
repository for cmu-q hackathon 2017gpsmap
Real time map creation and update using gps datatacotron2
QLN-LiveNewsDemo
QCRI Live News Demonstrationdbcopier
Ruby tool to copy a database of any type to a database of any other typeCOVID19-MAL-Blacklist
COVID19 Themed Domain Blacklistdockerized_moses_server
ArabicSpeechTextProcessing
Processing Dialectal Arabic Speech Transcriptionapihub
serve and publish APIQCAI-TransportaionGroup-GTI
GTI: Graph Trajectory Imputationmultilingual-latent-concepts
Code associated with the ACL24 paper titled, "Exploring Alignment in Shared Cross-Lingual Spaces"compromised
Detecting Compromised and Attack domainsdeepdialect
Deep Arabic Dialect DetectionPHD_Datasets
PHD Data collect by Matheus Araujoqcri-demo-icassp-2018-client
The client side of QCRI demo at ICASSP 2018RDF-generator
Converting structured and semi-structured data into RDF graphs.Zagel
Chatting app based on the crosscloud platformArabesque-Skeleton
Skeleton template for new projects on top of ArabesqueTrafQ
TrafQ is a collection of Open AI environments and baseline algorithms for Traffic Light control optimization with Reinforcement Learning. Environments simulate real road networks and traffic.ADAC-traffic
Offline reinforcement learning for traffic signal controlLove Open Source and this site? Check out how you can help us