kristinyanah

at_home_data

cnn-gnn-enzyme

Content-based-Image-Retrieval

De-Brujin-graph

deephealth-annotate

DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be used for a variety of purposes, such as creating training input for deep learning models that use bounding box algorithms.

deephealth-complete.github.io

deephealth.github.io

Disentangle

Disentangle Loss Evaluation

flask_search

front_end

hello-world

imageseach

kristinyanah.github.io

M2FP

Mask2Former for Parsing (M2FP)

Mask2Former-IBS

Intra-Batch Supervision applied to Mask2Former

Mask2Former-Simplify

MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

MedMNIST

18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!

Modified-MaskFormer-for-Polyps-Segmentation

Mask Classification-based method for Polyps Segmentation and Detection (EndoCV 2022 challenge)

mpsych.org

oct_attention

pytorch-image-models

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

Self-supervised_Barlow-Twins-on-STL-10-Dataset

Copy of assignments submitted to the course-work of DL_425

Sentiment-analysis-ML