Olympus
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Getting Started

  • First Steps
  • Observers and Aspects
    • What not to do
    • Observers
    • Aspect

Examples

  • Minimalist Example
  • Simple Hyper Parameter Search
  • Parallel Hyper Parameter Search
  • Simple Dashboard
  • Dynamic Dashboard

Contributing

  • Contributing to Olympus
    • Adding new Basic Blocks
      • Models
      • Model Optimizer
      • Weight Initialization
      • Schedule
      • Tasks
      • Baselines
      • Datasets
      • Dataset Sampling
      • Metrics
      • Observers
      • Hyper-parameter Optimizer
    • Specifying hyper-parameters
    • Examples
      • Custom Model
      • Custom Model with NAS
      • Custom Optimizer
      • Custom Schedule
      • Custom Observer

API

  • Accumulators
    • olympus.accumulators.smoothing module
  • Dashboard
    • Plots
      • Exploration
      • Importance
      • Training Curves
      • Work Distribution
      • Work Status
      • Saliency Map
      • Layer Inspection
  • Baselines
    • Classification
    • Launcher
      • Parallelization
      • Monitoring
    • Module contents
  • Datasets
    • Archive
    • CIFAR 10
    • CIFAR 100
    • All Dataset
    • Extended MNIST
    • FakeDataset
    • Fashion MNIST
    • Gaussian
    • ImageNet
    • MNIST
    • Pennfudan
    • SVHN
    • Tensor HDF5
    • Tiny ImageNet
    • Transformed Dataset
  • Distributed
    • Multi GPU
    • Module contents
  • Hyper parameter Optimization
    • Registered HPO
      • Hyperband
      • Random Search
    • Module contents
  • Metrics
    • Available Metrics
      • Reinforcement Learning
      • Accuracy
      • Adversary
    • Module contents
  • Models
    • Registered Models
      • Efficientnet
      • LeNet
      • Logistic Regression
      • MultiLayer Perceptron
      • Mobilenetv2
      • PreActResnet
      • Resnet
      • VGG
      • Initializations
        • Registered Initializations
        • Module contents
    • Module contents
  • Observers
    • Available Observers
      • Progress
    • Observer Interface
    • Observer List
  • Optimizers
    • Adam
    • AMSGrad
    • Base
    • SGD
    • Module contents
  • Reinforcement Learning
    • Reinforcement Loader
    • Parallel Environments
    • Gym Environment
    • Procedurally Generated Environment
    • Replay Vector
    • Module contents
  • Samplers
    • Group
  • Schedules
    • Cyclic
    • Exponential
    • Module contents
  • Split Methods
    • Balanced Classes
    • Boostrap
    • Constrained Bootstrap
    • CrossValid
    • Original
    • Resample
    • Split
    • SubSample
  • Tasks
    • Classification
    • Object Detection
    • olympus.tasks.gan module
    • olympus.tasks.segmentation module
    • olympus.tasks.task module
    • Reinforcement
      • Actor Critic
      • Proximal Policy Optimization
  • Utilities
    • dtypes
    • Factory
    • Mixed Precision
    • Network
    • Options
    • Signals
    • Statistics
    • Storage
    • Subpackages
      • GPU
        • Submodules
        • Module contents
    • Module contents
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© Copyright 2017-2019 Pierre Delaunay Revision b5b7a2b1.

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