2nd-place-solution-for-vinbigdata-chest-x-ray-abnormalities-detection

Localization of thoracic abnormalities model based on VinBigData (top 1%)

adversarial-attacks-and-defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the propose

agxnet

aliktk

Config files for my GitHub profile. Don't forget to give a Star :)

alinawaz.github.io

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome.

amazonscraperv1

Scrape Amazon Product Details and Pricing using Python

approach-to-segmentation-and-classification-from-leukocyte-images-to-count-blood-cells

This is our repo for CS231 - Computer Vision, Spring 2021, University of Information Technology, VNU HCM

automatic-cell-counter

Automatic Cell Counter using Python

avatarify-python

Avatars for Zoom, Skype and other video-conferencing apps.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-engineer

🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!

beginner-python-exercises

👨‍🎓 My solutions of PRACTICE PYTHON

bird_voice_spectrum_classification

We carefully examine this reliance and contrast the calculated findings with an analytical explanation assuming dependencies for a hypothetically idealized flawless classifier. Additionally, we note that the classification performance varied among 20 randomly chosen subgroups depending on the species composition.

breast-cancer-classification

Breast Cancer Classification using CNN and transfer learning

canny_edge_detector

Canny Edge detector library

cell-segmentation

PyTorch implementation of several neural network models for cellular image segmentation

chess-robot

cnn-cell-counting

A machine learning model using CNN to count number of cells in a medical image

code-for-ad-dataloading-

This code containing some of the modules for data loading as part of AD detection

complete-machine-learning-course-part-5

copy_move_forgery_detection

Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC, IHC)

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

drivescan

engrsaad2

eye-disese-classificatiom

Classification of Eye Disease (DME, AMD, Normal)

github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

github-slideshow

A robot powered training repository :robot: