Lukas Galke (@lgalke)
github

lgalke

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  • Stars
    star
    373
  • Global Rank 74,544 (Top 3 %)
  • Followers 58
  • Following 96
  • Registered almost 12 years ago
  • Most used languages
    Python
         76.5 %
    Vim Script
         17.6 %
    TeX
         5.9 %
  • Location πŸ‡©πŸ‡° Denmark
  • Country Total Rank 3,996
  • Country Ranking
    Vim Script
         14
    Python
         45
    TeX
         77

Top repositories

1

vec4ir

Word Embeddings for Information Retrieval
Python
225
star
2

text-clf-baselines

WideMLP for Text Classification
Python
27
star
3

lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Python
25
star
4

aae-recommender

Adversarial Autoencoders for Recommendation Tasks
Python
19
star
5

gnn-pretraining-evaluation

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
Python
19
star
6

torch-pruning

Pruning methods for pytorch with an optimizer-like interface
Python
15
star
7

Incremental-GNNs

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift
Python
8
star
8

vim-compiler-vale

Compiler plugin to transform vale output as quickfix.
Vim Script
8
star
9

mpd-aae-recommender

Applying adversarial autoencoding recommender to Spotify million playlist dataset (RecSysChallenge 2018)
Python
5
star
10

latent

Learning representations of text and graphs
Python
4
star
11

tpope-pack

Collection of vim plugins created by Tim Pope.
4
star
12

boatpi

A guide for setting up a boat navigation system using a Raspberry Pi.
TeX
3
star
13

vim-ernest

Ernest provides a modified insert mode for vim, in which all delete commands are disabled.
Vim Script
2
star
14

resuggest

Text Processing and Response Suggestion
Python
2
star
15

gather-todo.txt-vim

Gather contents of todo.txt files from a directory tree to display a kind of agenda view in a scratch buffer.
Vim Script
2
star
16

linsys

Lindenmayer systems in python
Python
1
star
17

cross-architecture-distillation

General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings: code for IJCNN 2022 paper
Python
1
star
18

easy2deeplearn

Code for the paper "What makes a language easy to deep-learn?"
Python
1
star