62 Open source projects that are alternatives of or similar to multi-label-classification

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Speech commands recognition with PyTorch

Library for fast text representation and extreme classification.

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

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

Multi-Label Learning from Single Positive Labels - CVPR 2021

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Object detection and localization with Tensorflow 2 and Keras

Implementation of popular deep learning networks with TensorRT network definition API

machine-learning tensorflow multi-label-classification

Classification with PyTorch.

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

Classification models trained on ImageNet. Keras.

Kaggle 2018 @ Human Protein Atlas Image Classification

OpenMMLab Image Classification Toolbox and Benchmark

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

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

A paper list of awesome Image Tagging

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Catalyst.Classification

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

Food detection and recommendation with deep learning

General Multi-label Image Classification with Transformers

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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

CBAM implementation on TensowFlow

Caver: a toolkit for multilabel text classification.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

PyTorch implementation of CNNs for CIFAR benchmark

Pytorch Implementation of GoEmotions 😍😢😱

Reproduces ResNet-V3 with pytorch

Light-weight Single Person Pose Estimator

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

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Extract a feature vector for any image and find the cosine similarity for comparison using Pytorch. I have used ResNet-18 to extract the feature vector of images. Finally a Django app is developed to input two images and to find the cosine similarity.

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

D3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection

A list of popular deep learning models related to classification, segmentation and detection problems

Multi-class classification with focal loss for imbalanced datasets

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

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

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

Research and specification for Big Brother protocol

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

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

DECAF: Deep Extreme Classification with Label Features

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

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax