LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification
☆99Mar 17, 2022Updated 4 years ago
Alternatives and similar repositories for LightXML
Users that are interested in LightXML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning☆24Jul 25, 2022Updated 4 years ago
- X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification☆144Apr 27, 2021Updated 5 years ago
- ECLARE: Extreme Classification with Label Graph Correlations☆41Mar 24, 2022Updated 4 years ago
- ☆54Dec 22, 2020Updated 5 years ago
- ☆19Jun 4, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- DECAF: Deep Extreme Classification with Label Features☆53Mar 24, 2022Updated 4 years ago
- OTSeq2Set, XMTC☆11Dec 31, 2022Updated 3 years ago
- Chronos: Zero-Shot Identification of Libraries from Vulnerability Reports (ICSE 2023, Technical Track)☆11Jul 23, 2023Updated 3 years ago
- ☆17Oct 11, 2023Updated 2 years ago
- Pytorch implementation of the paper Deep learning for extreme multi-label text classification☆64Feb 11, 2024Updated 2 years ago
- Label-Specific Document Representation for Multi-Label Text Classification☆88Dec 15, 2019Updated 6 years ago
- Source code for WWW 2019 paper "Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification"☆13May 3, 2019Updated 7 years ago
- Implementation of DeepXML☆65Mar 24, 2022Updated 4 years ago
- PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"☆48Sep 4, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification☆34Oct 28, 2021Updated 4 years ago
- Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"☆51Mar 9, 2021Updated 5 years ago
- ☆15Oct 2, 2024Updated last year
- Tools for multi-label classification problems.☆127Apr 19, 2025Updated last year
- The code for our paper "Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification”☆13Apr 20, 2023Updated 3 years ago
- Large-Scale Multi-Label Text Classification on EU Legislation☆100Jul 24, 2023Updated 3 years ago
- Library for fast text representation and extreme classification.☆152Dec 20, 2020Updated 5 years ago
- Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)☆32Jun 21, 2025Updated last year
- Extremely simple and fast extreme multi-class and multi-label classifiers.☆70Nov 10, 2025Updated 9 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- PECOS - Prediction for Enormous and Correlated Spaces☆550Updated this week
- Implementation of SiameseXML (ICML 2021)☆40Oct 26, 2022Updated 3 years ago
- ☆490Oct 12, 2024Updated last year
- The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》☆328May 27, 2024Updated 2 years ago
- A tensorflow2.0 implementation of triplet loss with online hard mining strategy☆14Jul 6, 2019Updated 7 years ago
- ☆24Nov 25, 2021Updated 4 years ago
- Hierarchy-Aware Global Model for Hierarchical Text Classification☆229Nov 28, 2022Updated 3 years ago
- ☆15Aug 23, 2023Updated 3 years ago
- The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"☆29Apr 20, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆133Jun 12, 2023Updated 3 years ago
- ☆18Feb 22, 2023Updated 3 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Nov 10, 2019Updated 6 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- In this repo, I developed a step-by-step pipeline for a standard MultiSpeaker Text-to-Speech system In general, I used Portaspeech as an…☆12Nov 24, 2023Updated 2 years ago
- ☆15Jun 28, 2023Updated 3 years ago
- FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification☆148Jun 19, 2024Updated 2 years ago