bluelancer Goto Github PK

itergnn

Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)

kth-beamer

A (very) simple beamer theme for KTH presentations

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mladv2020proj

neural-structured-learning

Training neural models with structured signals.

ogb1.3.2

Benchmark datasets, data loaders, and evaluators for graph machine learning

openems

openEMS is a free and open-source electromagnetic field solver using the EC-FDTD method.

parallels

Parallels Desktop for mac

prog

All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

pseudoraytracingosm

Conv nets applied to OSM maps for path loss prediction

pyipm

An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.

rinl

Sementic NLP for SCoTT

rl_graph_generation

routenet-erlang

routinggnn_appendix

scalable-data-science

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

sharpwxdump

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

sp_cup_2021

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

ssl-relation-prediction

Simple yet SoTA Knowledge Graph Embeddings.

swan-pytorch

PyTorch implementation for Reducing Semantic Confusion: Scene-aware Aggregation Network for Remote Sensing Cross-modal Retrieva (ICMR 2023)

taxonomy_refinement_embeddings

Taxonomy refinement method to improve domain-specific taxonomy systems.

tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

wasp-lfr-m1

Code for Learning Features Representation WASP course.

wasprl2022lab2