Emre's Projects
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Document Q&A over The Full Stack's Corpus
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TensorFlow code and pre-trained models for BERT
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
blogposts
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Cloud ML Engine is now a part of AI Platform
Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker
A Code-First Introduction to NLP course
Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19
data science endeavour
Machine learning datasets used in tutorials on MachineLearningMastery.com
š¤ The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repo for the Deep Reinforcement Learning Nanodegree program
Notebooks for learning deep learning
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Data Science Resources
My solution to the book A Collection of Data Science Take-Home Challenges
Errata and code for Effective Pandas book
This is the FARM Stack course, where you are going to learn how to build an application from scratch using FASTAPI, React and mongoDB
The fastai deep learning library, plus lessons and tutorials
FastAPI Best Practices and Conventions we used at our startup