lgalke

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

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.

resuggest

Text Processing and Response Suggestion

cross-architecture-distillation

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

easy2deeplearn

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

al-folio

A beautiful Jekyll theme for academics

AQUAS

cascadexml

Code for our paper CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

CENTaUR

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

differentiable-ranking

EGG

EGG: Emergence of lanGuage in Games

GNNPapers

Must-read papers on graph neural networks (GNN)

INFORMATIK2019-concept-representation-learning

Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution

lgalke

lgalke.github.io

My personal academic web page

mlx-examples

Examples in the MLX framework

NOSMOG

Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

old-lgalke.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

Population

Emergent communication into populations

PyTorch_TextGCN

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification

recon_ica

stable-diffusion-webui

Stable Diffusion web UI

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.