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Determined AI Documentation
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version 0.18.1
  • Quickstart for Model Developers

Introduction to Determined

  • Tutorials
    • PyTorch MNIST Tutorial
    • PyTorch Porting Tutorial
    • TensorFlow Keras Fashion MNIST Tutorial
  • Examples
  • Model Hub
    • Transformers
      • Tutorial
      • Examples
      • API
    • MMDetection
      • API
  • Concepts
    • Elastic Infrastructure
    • Resource Pools
    • Scheduling
    • YAML Configuration
  • Interact with Cluster
    • Command-line Interface (CLI)
    • Python API
    • REST APIs

Preparation

  • Prepare Environment
    • Custom Environment
    • Custom Pod Specs
  • Prepare Data

Training

  • Training APIs
    • Core API
      • Getting Started
      • Report Metrics
      • Report Checkpoints
      • Hyperparameter Search
      • Distributed Training
      • API Reference
    • PyTorch API
      • Advanced Usage
      • Porting Checklist
      • API Reference
    • PyTorch Lightning API
    • DeepSpeed API
      • Usage Guide
      • Advanced Usage
      • PyTorchTrial to DeepSpeedTrial
      • API Reference
    • Keras API
      • API Reference
    • Estimator API
      • API Reference
    • Experiment Configuration
    • Best Practices
  • Run Training Code
  • How to Debug Models
    • How To Profile An Experiment
  • Distributed Training
    • Effective Distributed Training
  • Hyperparameter Tuning
    • Hyperparameter Search: Adaptive (Asynchronous)
    • Hyperparameter Search Constraints
    • Hyperparameter Search: Grid
    • Hyperparameter Search: Random
    • Hyperparameter Search: Single
    • Hyperparameter Tuning Defined
  • Reproducibility
  • Post Training
    • Organizing Models in the Model Registry
    • Using Checkpoints

Additional Features

  • Interactive Job Configuration
  • Commands and Shells
  • Configuration Templates
  • Job Queue Management
  • Model Registry
  • Notebooks
  • TensorBoards

Cluster Setup

  • Basics
    • Network Requirements
    • Cluster Configuration
    • Elasticsearch-backed logging
    • Historical Cluster Usage Data
    • Upgrades
    • Troubleshooting Tips
    • Users
    • OAuth 2.0 (Enterprise Edition)
    • OpenID Connect Integration (Enterprise Edition)
    • SAML Integration (Enterprise Edition)
    • SCIM Integration (Enterprise Edition)
    • Transport Layer Security
  • Deploy on AWS
    • Install Determined on AWS
    • Dynamic Agents on AWS
    • AWS Spot Instances
  • Deploy on GCP
    • Install Determined on GCP
    • Dynamic Agents on GCP
  • Deploy on Prem
    • Installation Requirements
    • Install Determined Using Docker
    • Install Determined Using det deploy
    • Install Determined Using Linux Packages
  • Deploy on Kubernetes
    • Helm Chart Configuration
    • Install Determined on Kubernetes
    • Determined on K8s Development Guide
    • Setting up an Azure Kubernetes Service (AKS) Cluster
    • Managing an AKS Cluster
    • Setting up an AWS Kubernetes (EKS) Cluster
    • Managing an EKS Cluster
    • Setting up a Google Kubernetes Engine (GKE) Cluster
    • Managing a GKE Cluster

Integrations

  • Ecosystem Integration
  • Configure Determined with Prometheus and Grafana

Further

  • Join the Community
  • Open Source Licenses
  • Release Notes

Python Module Index

d | m
 
d
- determined
    determined.core
    determined.experimental.client
    determined.pytorch.samplers
 
m
- model_hub
    model_hub.huggingface
    model_hub.mmdetection
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