Name: Aleksandra Przegalinska
Type: User
Company: Kozminski University
Bio: Associate Professor @Kozminski University
Harvard Labour and Worklife Program Senior Research Fellow
Blog: http://www.collaborativesociety.net
Aleksandra Przegalinska's Projects
A robust Python tool for text-based AI training and generation using GPT-2.
Code for the AllenNLP demo.
TensorFlow code and pre-trained models for BERT
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Example showing multiple test reports merged into a single Mochawesome report
PyTorch package for the discrete VAE used for DALLΒ·E.
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep Learning Tutorial notes and code. See the wiki for more info.
A Python package to assess and improve fairness of machine learning models.
Code for the paper "Language Models are Unsupervised Multitask Learners"
GPT-3: Language Models are Few-Shot Learners
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Model parallel transformers in JAX and Haiku
A collection of openFrameworks apps for working with machine learning
A structured implementation of MuZero
AI scientist interested in natural language processing
All Algorithms implemented in Python
A Dutch RoBERTa-based language model
Scrapy, a fast high-level web crawling & scraping framework for Python.
SortPhotos is a Python script that organizes photos and videos into folders using date/time information
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
π€ Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Python Twitter API