khinmaunghtay4ah,Khin Maung Htay,github

a-to-z-resources-for-students

Curated list of resources for college students

advanced-deep-learning-and-reinforcement-learning-deepmind

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome

:sunglasses: Curated list of awesome lists

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

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

awesome-mental-health

A curated list of awesome articles, websites and resources about mental health in the software industry.

awesome-project-ideas

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

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

bhdd

Burmese Handwritten Digits Dataset (inspired by MNIST dataset)

chest-x-ray-pneumonia-detection-with-keras-cnn

The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.