124 Open source projects that are alternatives of or similar to GalaXC

DECAF: Deep Extreme Classification with Label Features

Extremely simple and fast extreme multi-class and multi-label classifiers.

Library for fast text representation and extreme classification.

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Deep Neural Network Ensembles for Extreme Classification

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

A distributed graph deep learning framework.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

odr.chalmers.se/handle/20.500.12380/256629?locale=en

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Summary of open source code for deep learning models in the field of traffic prediction

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

machine-learning tensorflow multi-label-classification

Implementation of DeepXML

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Graph Neural Networks with Keras and Tensorflow 2.

Kaggle 2018 @ Human Protein Atlas Image Classification

links to conference publications in graph-based deep learning

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

A paper list of awesome Image Tagging

Inductive relation prediction by subgraph reasoning, ICML'20

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Multi-Label Learning from Single Positive Labels - CVPR 2021

Implement of DiGCN, NeurIPS-2020

General Multi-label Image Classification with Transformers

No description or website provided.

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

Caver: a toolkit for multilabel text classification.

Visualization tool for Graph Neural Networks

基于tf.keras的多标签多分类模型

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

StellarGraph - Machine Learning on Graphs

Graph Neural Network Library for PyTorch

Disentagnled Graph Collaborative Filtering, SIGIR2020

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pytorch Implementation of GoEmotions 😍😢😱

Implementation of Directional Graph Networks in PyTorch and DGL

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Implementation of "Overlapping Community Detection with Graph Neural Networks"

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Graph-based Deep Q Network for Web Navigation

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Combining relational context and relational paths for knowledge graph completion

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Demo of RouteNet in ACM SIGCOMM'19

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Code for CheXpert Challenge 2019 [Top 2(07/24/2019)]

Combining relational context and relational paths for knowledge graph completion

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)