Pinned Repositories
avocado-seed
I am planning to put my more complex, less stable (for the time being) ML models.
avocado-sentiment-analysis
dutch sentiment analysis pipeline written by me
cdi-cat-api
REST API for CDI-CAT
Classification_Error_Toolkit
ContextualEmbeddingDR
Empirical Comparison of Dimensionality Reduction Techniques for Contextual Embeddings over Low Sample Human-Level Tasks
COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
dlatk
End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
selimsametoglu.github.io
selimsametoglu's Repositories
selimsametoglu/avocado-sentiment-analysis
dutch sentiment analysis pipeline written by me
selimsametoglu/COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
selimsametoglu/selimsametoglu.github.io
selimsametoglu/avocado-seed
I am planning to put my more complex, less stable (for the time being) ML models.
selimsametoglu/cdi-cat-api
REST API for CDI-CAT
selimsametoglu/Classification_Error_Toolkit
selimsametoglu/ContextualEmbeddingDR
Empirical Comparison of Dimensionality Reduction Techniques for Contextual Embeddings over Low Sample Human-Level Tasks
selimsametoglu/dlatk
End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.
selimsametoglu/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
selimsametoglu/HaRT
Human-aware Recurrent Transformer (HaRT) model pre-trained on the human language modeling (HuLM) task
selimsametoglu/jsCAT
jsCAT: Computer adaptive testing in JavaScript
selimsametoglu/m3inference
A deep learning system for demographic inference (gender, age, and individual/person) that was trained on massive Twitter dataset using profile images, screen names, names, and biographies
selimsametoglu/ma-ml4nlp-labs
selimsametoglu/mean-stack-example
Sample CRUD application built with the MEAN stack.
selimsametoglu/ml2_first_project_clone
Clone (Same) code from the book of Aurélien Géron, 2. Chapter
selimsametoglu/notebooks-nlp-with-transformers
Jupyter notebooks for the Natural Language Processing with Transformers book
selimsametoglu/python-for-text-analysis
If you want to use Python for text analysis, this course is for you!
selimsametoglu/scikit-learn
scikit-learn: machine learning in Python
selimsametoglu/shiny.rstudio.com-tutorial
Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/
selimsametoglu/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.