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
Olympus
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Metrics
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Metrics
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Metrics are implemented through
Observer
objects
Available Metrics
¶
Reinforcement Learning
Accuracy
Adversary
Module contents
¶