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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TensorFlow Basic Tutorial Labs
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
Korean BERT pre-trained cased (KoBERT)
Contains files related to content and project of DSND Term 2
Code and associated files for the deploying ML models within AWS SageMaker
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Deep Learning repo for timeseries and sequence data
Deep Learning Study with Gluon
Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
Implementations of Amazon SageMaker-compatible custom containers for training.
Tutorial to show how to deploy KoGPT2 model to Amazon SageMaker at scale, and how to fine-tune KoGPT2 model for downstream NLP tasks
SageMaker Lab building custom model for ANPR(Automatic Number Plate Recognition)
Lab materials of Deep Learning on AWS Workshop
AWS DeepRacer Tools - Unofficial