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Maysa Marshallia's Projects

asg icon asg

Open category classification by adversarial sample generation

camunda icon camunda

High level camunda model, something like Eloquent, to wrap access to camunda resources via REST API

cd-osr icon cd-osr

This is an implementation demo (MATLAB code) of CD-OSR for paper 'Collective Decision for Open Set Recognition'

crosr icon crosr

PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

emcgcn-aste icon emcgcn-aste

Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction

eva_show-case icon eva_show-case

In this git repository, you can download the source code of the plug-ins we designed for the ADLINK EVA.

evidently icon evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

extremevaluemachine icon extremevaluemachine

This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

keras-unet-collection icon keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

kmeans icon kmeans

my school project to clustering data using k means

mdl4ow icon mdl4ow

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

metaformer icon metaformer

A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”

mib icon mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

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