The example notebooks within this folder showcase the capabilities of Amazon SageMaker in building and training machine learning models.

• ModelTrainer - New and Improved Training Interface for the SageMaker PySDK
• Visualize Training Jobs and Performance of Your Model Using TensorBoard on SageMaker
• Use SageMaker Distributed Model Parallel with Amazon SageMaker to Launch Training Job with Model Parallelization
• Time Series Modeling with Amazon Forecast and DeepAR on SageMaker - DeepAR on SageMaker
• Fine-tune GPT-NeoX and Llama-v2 with SageMaker-PyTorch FSDP at large-scale using tensor parallelism, hybrid sharding, and activation offloading
• PyTorch's example to demonstrate Amazon SageMaker Heterogeneous Cluster for model training
• Heterogeneous Cluster - a hello world training job
• Hyperparameter Tuning using SageMaker PyTorch Container
• Learning Word2Vec Word Representations using BlazingText
• An Introduction to the Amazon SageMaker IP Insights Algorithm
• An Introduction to SageMaker LDA
• Introduction to Basic Functionality of NTM
• An Introduction to SageMaker ObjectToVec model for sequence-sequence embedding
• Training and Deploying ML Models using JAX on SageMaker
• Managed Spot Training for XGBoost
• Package a machine learning model for listing on the AWS Marketplace
• Building your own container as Algorithm / Model Package
• Amazon SageMaker Object Detection for Bird Species
• An Introduction to SageMaker Random Cut Forests
• Regression with Amazon SageMaker XGBoost algorithm
• Train a PyTorch model with MNIST dataset
• Quick Start - Run local code as SageMaker training job
• Building your own algorithm container
• Horovod Distributed Training with SageMaker TensorFlow script mode
• Amazon SageMaker Semantic Segmentation Algorithm
• Data parallel distributed BERT model training with PyTorch and SageMaker distributed
• Compile and Train the GPT2 Model using the Transformers Trainer API with the wikitext Dataset for Multi-Node Multi-GPU Training
• Compile and Train a Hugging Face Transformer BERT Model with the SST Dataset using SageMaker Training Compiler
• Automatic Model Tuning : Automatic training job early stopping
• SageMaker/DeepAR demo on electricity dataset
• Accelerate SageMaker-PyTorch FSDP Training of Mixtral on P4 instances
• Automatic Model Tuning : Warm Starting Tuning Jobs
• Hyperband Automatic Model Tuning for Distributed Training
• Tabular regression with Amazon SageMaker AutoGluon-Tabular algorithm
• An Introduction to Factorization Machines with MNIST
• An Introduction to PCA with MNIST
• Multi-Class Classification using Amazon SageMaker k-Nearest-Neighbors (kNN)
• Tabular classification with Amazon SageMaker LightGBM and CatBoost algorithm
• An Introduction to Linear Learner with MNIST
• Tabular classification with Amazon SageMaker TabTransformer algorithm