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adrenocortical_carcinoma

attention-enriched-dl-model-for-breast-tumor-segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

autoencoder_py

awesome-crowd-counting

Awesome Crowd Counting

awesome-data-science-resoruces

A curated list of data science educational resources for essential data science skills

c-3-framework

An open-source PyTorch code for crowd counting

chest_x_ray

Image classification models

chexpert

Top 1 solution of Chexpert

crowd-localization-and-counting

Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional density-based methods only predict coarse prediction, and segmentation/detection-based methods cannot handle extremely dense scenes and large-range scale-variations crowds.

customer_segmentation

Customer Segmentation as a crucial part of any business that dictate effectiveness and efficiency of multiple future investments

data-science-interview-questions-answers

Curated list of data science interview questions and answers

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deploy-streamlit-on-fargate-with-aws-cdk

This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

effective_pandas_book

Errata and code for Effective Pandas book

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

featup

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

heart_failure_classification

Building a model that classifies patients risk for heart failure based on their lab records

hugging_face_sagemaker_api_deployment

Repository showing how to deploy and use a hugging face model through sagemaker and API gateway

imodelsx

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

liver_tumor

liverdisease_detection_yolov8

mamba

mammogram-app

monaibootcamp2021

Materials for the 2021 MONAI Bootcamp

mrsegmentator

neural_graph_mapping

Neural Graph Mapping for Dense SLAM with Efficient Loop Closure

nih-chest-x-rays-classification

ntrack-a-multiple-object-tracker

A multiple-object tracker and for infield cotton boll counting.