blazejdolicki Goto Github PK
Type: User
Bio: AI Engineer at Aiosyn
Twitter: BlazejDolicki
Location: Amsterdam, Netherlands
Blog: blazejdolicki.com
Type: User
Bio: AI Engineer at Aiosyn
Twitter: BlazejDolicki
Location: Amsterdam, Netherlands
Blog: blazejdolicki.com
Sarcasm detection with BERT
An PyTorch reimplementation of bottom-up-attention models
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.
Code for our paper "CHEDAR: Conversation History Embedding for Dense Answer Retrieval."
My assignments for the Data Analysis course that I attended in Spring 2020 as part of my bachelor's degree.
Databricks related python and powershell code
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
EGG: Emergence of lanGuage in Games
Project 1-2
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?
Language-Agnostic SEntence Representations
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.
Machine learning metrics for distributed, scalable PyTorch applications.
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
Code for my Bachelor's thesis "Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer"
Code for a project about tackling negative interference in multilingual meta-learning setup.
Code for our short paper "Image classification pressures in language emergence"
Practice your pandas skills!
Starter app for fastai v3 model deployment on Render
PyTorch templates to reuse in new projects
The programme is a Tetris game. There is a mode in which the game is played by a bot which uses genetic algorithms to optimize his performance. It was an university group project I worked on at the end of 2017, therefore not all of the code was written by myself.
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
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.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.