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Projects in Awesome Lists tagged with multi-label-classification

A curated list of projects in awesome lists tagged with multi-label-classification .

https://github.com/lonepatient/bert-multi-label-text-classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

albert bert fine-tuning multi-label-classification nlp pytorch pytorch-implmention text-classification transformers xlnet

Last synced: 16 May 2025

https://github.com/lonePatient/Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

albert bert fine-tuning multi-label-classification nlp pytorch pytorch-implmention text-classification transformers xlnet

Last synced: 10 Jul 2025

https://github.com/Alibaba-MIIL/ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

classification detection loss multi-label-classification

Last synced: 08 May 2025

https://github.com/Alibaba-MIIL/ImageNet21K

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

downstream imagenet21k mixer multi-label-classification pretraining semantic-softmax single-label vision-transformer

Last synced: 15 Mar 2025

https://github.com/inspirehep/magpie

Deep neural network framework for multi-label text classification

classification deep-learning machine-learning multi-label-classification neural-network nlp prediction word2vec

Last synced: 04 Apr 2025

https://github.com/aqibsaeed/multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

deep-learning lstm multi-label-classification tensorflow time-series

Last synced: 04 Aug 2025

https://github.com/aqibsaeed/Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

deep-learning lstm multi-label-classification tensorflow time-series

Last synced: 04 Apr 2025

https://github.com/Alibaba-MIIL/TResNet

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

accuracy architecture imagenet multi-label-classification tresnet

Last synced: 08 May 2025

https://github.com/pangwong/pytorch-multi-label-classifier

A pytorch implemented classifier for Multiple-Label classification

accuracy-curves classifier loss-curves multi-label-classification pytorch visdom

Last synced: 09 May 2025

https://github.com/qdata/c-tran

General Multi-label Image Classification with Transformers

computer-vision multi-label-classification transformers

Last synced: 12 Apr 2025

https://github.com/QData/C-Tran

General Multi-label Image Classification with Transformers

computer-vision multi-label-classification transformers

Last synced: 05 Apr 2025

https://github.com/catqaq/opentextclassification

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。

bert bert-text-classification chinese-text-classification dpcnn ernie gru lstm multi-label-classification naive-bayes pytorch svm text-classification textcnn textrnn torchtext transformers

Last synced: 07 May 2025

https://github.com/cheng-li/pyramid

Open source Machine Learning library written in Java

gradient-boosting java machine-learning machine-learning-library multi-label-classification

Last synced: 13 Mar 2026

https://github.com/brightmart/multi-label_classification

transform multi-label classification as sentence pair task, with more training data and information

bert multi-label-classification roberta sentence-pair-classification text-classification

Last synced: 15 Apr 2025

https://github.com/davidsbatista/text-classification

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

multi-label-classification text-classification train-supervised-classifiers

Last synced: 21 Jan 2026

https://github.com/qdata/lamp

ECML 2019: Graph Neural Networks for Multi-Label Classification

computer-vision graph-attention-networks graph-neural-networks multi-label-classification nlp transformers

Last synced: 13 Apr 2025

https://github.com/tomtung/omikuji

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

classification extreme-classification extreme-multi-label-classification machine-learning multi-label-classification rust supervised-learning

Last synced: 09 Apr 2025

https://github.com/hscspring/multi-label-text-classification-for-chinese

pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.

bert cnn dpcnn multi-label-classification pytorch-implmention rcnn text-classification

Last synced: 16 Jun 2025

https://github.com/siddsax/XML-CNN

Pytorch implementation of the paper Deep learning for extreme multi-label text classification

cnn-text-classification deep-learning multi-label-classification

Last synced: 14 Jul 2025

https://github.com/yochengliu/mlic-kd-wsd

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

computer-vision deep-learning knowledge-distillation multi-label-classification weakly-supervised-detection

Last synced: 12 Jun 2025

https://github.com/david-cortes/costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

cost-sensitive-classification multi-label-classification

Last synced: 01 Mar 2026

https://github.com/xiaohan2012/multi-label-text-classification

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

convnet graph-embedding multi-label-classification tensorflow

Last synced: 02 Apr 2025

https://github.com/guokr/caver

Caver: a toolkit for multilabel text classification.

attention-model cnn deep-learning multi-label-classification nlp pytorch text-classification

Last synced: 14 Jul 2025

https://github.com/clementapa/celebfaces_attributes_classification

This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to create a classifier allowing semantic attributes classification of faces with the dataset CelebA-HQ.

celeba-dataset computer-vision deep-learning image-classification multi-label-classification python pytorch-lightning vision-transformer

Last synced: 06 May 2025

https://github.com/xiaohan2012/sleec_python

Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"

embedding multi-label-classification paper-implementations python

Last synced: 02 Apr 2025

https://github.com/fitushar/weaklysupervised-3d-classification-of-chest-ct-using-aggregated-multiresolution-segmentation-feature

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

3d 3d-cnn ct-imaging deep-learning densevnet3d feature-aggregation lung-disease multi-label-classification multi-label-loss multi-resolution segmentation-features segmentation-models spie-cad spie-cad-2020 tensorflow2 tfrecords weakly-supervised-classification weakly-supervised-learning weight-binary-crossentrophy weighted-loss

Last synced: 22 Apr 2025

https://github.com/fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

3d 3d-cnn ct-imaging deep-learning densevnet3d feature-aggregation lung-disease multi-label-classification multi-label-loss multi-resolution segmentation-features segmentation-models spie-cad spie-cad-2020 tensorflow2 tfrecords weakly-supervised-classification weakly-supervised-learning weight-binary-crossentrophy weighted-loss

Last synced: 20 Mar 2025

https://github.com/scikit-multilearn-ng/scikit-multilearn-ng

A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

classification clustering label-prediction machine-learning multi-label multi-label-classification partitioning scikit scikit-learn scikit-multilearn

Last synced: 21 Aug 2025

https://github.com/bbenligiray/rml-cnn

Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification

loss-functions multi-label-classification robust-machine-learning semi-supervised-learning

Last synced: 27 Jun 2025

https://github.com/bearloga/mlpugs

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

classification machine-learning mcmc multi-label-classification r r-package rstats supervised-learning

Last synced: 11 Jun 2025

https://github.com/stefan-it/deep-wittgenstein

Classification of Wittgenstein's remarks

deep-learning multi-label-classification wittgenstein

Last synced: 14 Aug 2025

https://github.com/fardinhash/multilabel-classification-llm

Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.

bert-classification classification gpt-4 large-language-models llm mistral-7b multi-class-classification multi-label-classification multiclass-classification multilabel-classification t5 text-classification

Last synced: 04 Mar 2025

https://github.com/linhaowei1/hmc

The code of Hierarchical Multi-label Classification (HMC). It is a final course project of Natural Language Processing and Deep Learning, 2022 Fall.

deberta hierarchical-classification hierarchical-models multi-label-classification nlp nlp-machine-learning

Last synced: 25 Mar 2025

https://github.com/alexeyev/kyrgyz-multi-label-topic-classification

Multi-label 24.kg Kyrgyz news articles classification into 20 topics: data & baselines

kyrgyz multi-label-classification news-classification topic-classification turkic-languages

Last synced: 23 Feb 2026

https://github.com/avidlearnerinprogress/multilabel-classification-yeast-data

Implementing multi-label classification algorithms from scratch in Python

classification jupyter multi-label-classification python3 yeast-dataset

Last synced: 17 May 2026

https://github.com/ascender1729/cds-iisc-p1-datasci-predoc

A data science project utilizing machine learning to predict movie release years and genres based on directors' previous works.

data-cleaning data-visualization film-industry machine-learning movie-metadata multi-label-classification predictive-modeling regression-analysis-feature-engineering

Last synced: 31 Mar 2025

https://github.com/alvarag/ml-datatransformationis

Instance selection for multi-label data by means of data transformation methods: binary-relevance, label powerset and random k-labelsets

instance-selection machine-learning meka multi-label multi-label-classification weka

Last synced: 08 May 2026

https://github.com/alvarag/ml-localsets

Local set computation for multi-label data sets

instance-selection local-sets machine-learning meka multi-label-classification weka

Last synced: 12 May 2026

https://github.com/cissagatto/multilabelfriedmannemenyi

This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.

friedman model-comparison multi-label-classification nemenyi statistical-tests

Last synced: 28 May 2026

https://github.com/cissagatto/paircomparison

One-to-one comparison. Count how many datasets your method (algorithm) obtained the best result when compared to other method (or methods) in the experiment.

artificial-intelligence comparison-methods machine-learning multi-label multi-label-classification multi-label-partition multi-label-problems

Last synced: 28 May 2026

https://github.com/fracpete/reuters21578

Python script to convert the Reuters-21578 dataset into an ARFF file for MEKA.

meka multi-label-classification python3 text-classification

Last synced: 28 Mar 2025

https://github.com/devinw03/movie-genre-nlp

🎬 Classify movie genres from plot summaries using various models, including Transformers, with clear EDA and MLflow tracking for reproducible results.

cosine-similarity countvectorizer datascience distilroberta gru huggingface imdb machine-learning multi-label-classification nlp python pytorch recommendation-engine scikit-learn slack tabulate text-classification word2vec

Last synced: 11 Apr 2026

https://github.com/janmotl/cv

Stratified cross-validation for multi-label classification

machine-learning multi-label-classification

Last synced: 03 Apr 2025

https://github.com/matteo-stat/transformers-nlp-multi-label-classification

This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing multi-label classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊

fine-tuning huggingface huggingface-pipelines huggingface-transformers inference-optimization multi-label-classification nlp onnx onnxruntime text-classification transformers

Last synced: 09 Jul 2025

https://github.com/cissagatto/plothpml

his repository contains code for visualizing hybrid partitions, a method that plays a significant role in my PhD thesis. The code is designed to plot data partitions, specifically to highlight the differences between label clusters and instance clusters.

artificial-intelligence hybrid-partitions label-correlations label-partition machine-learning multi-label multi-label-classification multi-label-problem plot

Last synced: 28 May 2026

https://github.com/sankalp112kashyap/chestx-raymultilabelclassification

Deep learning model for automated classification of catheter and tube positions in chest X-rays, achieving 93% accuracy across 11 position categories.

chest-xray-classification computer-vision deep-learning healthcare-ai machine-learning medical-imaging multi-label-classification pytorch

Last synced: 28 Apr 2026

https://github.com/peter-gy/autovistype

Probing vision-language model alignment with human expert visual grouping over stratified sample of VIS30K dataset.

data-visualization google-genai langchain llm-benchmarking marimo meta-llama mistral multi-label-classification openai polars qwen uv vis30k vision-language-model visual-stimuli visualization-categorization vlm

Last synced: 02 May 2026

https://github.com/mwydmuch/xcolumns

Consistent Optimization of Label-wise Utilities in Multi-label classificatioN

extreme-classification inference-algorithms machine-learning ml multi-label-classification recommender-systems utility-optimization xmlc

Last synced: 27 Dec 2025

https://github.com/cissagatto/generate-partitions-random1

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

classification machine-learning multi-label multi-label-classification multi-label-partitions multi-label-random-partitions partitions r random-partitions

Last synced: 28 May 2026

https://github.com/zalkklop/lvsm

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers

Last synced: 09 Apr 2025