blazejdolicki's repositories
bert-sarcasm-detection
Sarcasm detection with BERT
CargoLoading
The programme finds an optimal packing configuration for a container with dimensions 33 x 8 x 5 via different methods - simple greedy search, backtracking and divide & conquer. There is also a sophisticated maximal layers algorithm which isn't fully implemented. After choosing the way of packing the container the programme displays the solution using JavaFX 3D. The whole report with all details is available here: https://goo.gl/RpDKf9 It was my university group project, which I developed in January 2018, therefore not all of the code was written by myself.
multilingual-analysis
Code for my Bachelor's thesis "Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer"
pytorch-templates
PyTorch templates to reuse in new projects
bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
multilingual-interference
Code for a project about tackling negative interference in multilingual meta-learning setup.
nlp2-language-emergence
Code for our short paper "Image classification pressures in language emergence"
data-clinics
My assignments for the Data Analysis course that I attended in Spring 2020 as part of my bachelor's degree.
databricks_repo
Databricks related python and powershell code
ham4corpus
Data from "Hamilton: An American Musical", formatted for reuse. See below for some interesting text analysis basic findings! I am not throwing away my stopword?
LearningLanguageApp
The programme is mostly an exercise, where user can translate random words from one language to another. In case user doesn't know how to translate it, he can use a clue. After finishing the exercise, he can see his overall results. Writing a word correctly in the exercise hugely decreases the probability of its occurrence in the next sessions.
pandas_exercises
Practice your pandas skills!
production-app-fastai
Starter app for fastai v3 model deployment on Render
uva-fact-ai-course
This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.