Filip Cornell's repositories
challenging-structural-assumptions
Repository for the code for the paper "Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion" published at LREC 2022.
sudokutetris
An OpenAI gym environment for SudokuTetris, known to many as BlockuDoku
reproducible-research-cookiecutter
A template repository to ensure reproducibility of research
GNN-random-indexing
Repository for the code for the paper Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks, published at IJCNN 2022.
NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Topo-AE-Mapper
Public repository for the workshop paper "Using Topological Autoencoders for global and local topology" at TDA And Beyond@NeurIps2020
advent-of-code-2021
Advent of code 2021
img-to-chars
Convert an img to a character image!
serving-model-template
Template for a simple API to have a model serving in production.
docker-tutorial
A tutorial on Docker
ds-project-template
A template for a typical DS project
Efficient-Apriori
An efficient Python implementation of the Apriori algorithm.
gtda-challenge-2020
This is the repo for the Giotto-tda use-cases challenge 2020.
ig-markets-api-python-library
A lightweight Python library that can be used to get live data from IG Markets REST and STREAM API with a LIVE or DEMO account
KGReasoning
Multi-Hop Logical Reasoning in Knowledge Graphs
minicore
Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
paraphraser
Sentence paraphrase generation at the sentence level
ParkingTicketPredsLA
A dashboard application for the parking tickets in LA
pytest-tutorial
A small tutorial for a workshop on pytest.
text-augmentation
A repo for collecting different data augmentation functions for text.
torch-ppr
(Personalized) Page-Rank computation using PyTorch
tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.