lgalke/easy2deeplearn

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Python
License
MIT License
Created over 1 year ago
Updated 4 months ago

lgalke/easy2deeplearn

lgalke

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

vec4ir

Word Embeddings for Information Retrieval

text-clf-baselines

WideMLP for Text Classification

lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

aae-recommender

Adversarial Autoencoders for Recommendation Tasks

gnn-pretraining-evaluation

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference

torch-pruning

Pruning methods for pytorch with an optimizer-like interface

Incremental-GNNs

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

vim-compiler-vale

Compiler plugin to transform vale output as quickfix.

mpd-aae-recommender

Applying adversarial autoencoding recommender to Spotify million playlist dataset (RecSysChallenge 2018)

latent

Learning representations of text and graphs

tpope-pack

Collection of vim plugins created by Tim Pope.

boatpi

A guide for setting up a boat navigation system using a Raspberry Pi.

vim-ernest

Ernest provides a modified insert mode for vim, in which all delete commands are disabled.

resuggest

Text Processing and Response Suggestion

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.

linsys

Lindenmayer systems in python

cross-architecture-distillation

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