yazdavar
Ph.D. CS, data Scientist, Former Researcher at KSU, and visiting Research at Weill Cornell,Cornell. Data science, Deep/machine Learning. NLP,
PeerlogicScottsdale
Pinned Repositories
aaai-2015-demographics
Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"
applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
awesome-ehr-deeplearning
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
BTM
Code for Biterm Topic Model (published in WWW 2013)
DataScienceTask
embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts" (http://cs.nyu.edu/~dsontag/papers/ChoiChiuSontag_AMIA_CRI16.pdf)
Entity_summarization
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
pytorch-examples
Simple examples to introduce PyTorch
Social-media-Depression-Detector
Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"
yazdavar's Repositories
yazdavar/embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts" (http://cs.nyu.edu/~dsontag/papers/ChoiChiuSontag_AMIA_CRI16.pdf)
yazdavar/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
yazdavar/pytorch-examples
Simple examples to introduce PyTorch
yazdavar/Social-media-Depression-Detector
Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"
yazdavar/aaai-2015-demographics
Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"
yazdavar/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
yazdavar/awesome-ehr-deeplearning
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
yazdavar/BTM
Code for Biterm Topic Model (published in WWW 2013)
yazdavar/DataScienceTask
yazdavar/Entity_summarization
yazdavar/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
yazdavar/Hospitalization_predcition
yazdavar/KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
yazdavar/machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
yazdavar/Monitoring_deprerssive_symptoms
yazdavar/NLP_Deeplearning.ai
yazdavar/Palmetto
Palmetto is a quality measuring tool for topics
yazdavar/pSSLDA
Parallel Semi-Supervised Latent Dirichlet Allocation
yazdavar/PyTorch-Tutorial
Build your neural network easy and fast
yazdavar/scispacy
A full spaCy pipeline and models for scientific/biomedical documents.
yazdavar/topic_interpretability
Computation of the semantic interpretability of topics produced by topic models.
yazdavar/wep_page