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TorchEBM
soran-ghaderi/torchebm
Home
Getting Started
Getting Started
Introduction
Installation
Guides
Guides
Energy Functions
Samplers
Loss Functions
Custom Neural Networks
Training EBMs
Visualization
API Reference
API Reference
Core
Core
Base_energy_function
Base_energy_function
AckleyEnergy
BaseEnergyFunction
DoubleWellEnergy
GaussianEnergy
HarmonicEnergy
RastriginEnergy
RosenbrockEnergy
Base_evaluator
Base_loss
Base_loss
BaseContrastiveDivergence
BaseLoss
Base_metric
Base_metric
BaseMetric
EnergySampleMetric
SampleQualityMetric
Base_optimizer
Base_optimizer
Optimizer
Base_sampler
Base_sampler
BaseSampler
Base_scheduler
Base_scheduler
BaseScheduler
ConstantScheduler
CosineScheduler
ExponentialDecayScheduler
LinearScheduler
MultiStepScheduler
WarmupScheduler
Base_trainer
Base_trainer
ContrastiveDivergenceTrainer
Cuda
Datasets
Datasets
Generators
Generators
BaseSyntheticDataset
CheckerboardDataset
CircleDataset
EightGaussiansDataset
GaussianMixtureDataset
GridDataset
PinwheelDataset
SwissRollDataset
TwoMoonsDataset
Losses
Losses
Contrastive_divergence
Contrastive_divergence
ContrastiveDivergence
ParallelTemperingCD
PersistentContrastiveDivergence
Score_matching
Score_matching
ScoreMatching
Models
Models
Base_model
Base_model
BaseModel
Samplers
Samplers
Hmc
Hmc
HamiltonianMonteCarlo
Langevin_dynamics
Langevin_dynamics
LangevinDynamics
Utils
Utils
Visualization
Examples
Examples
Energy Functions
Energy Functions
Datasets
Datasets
Samplers
Samplers
Langevin Dynamics
Langevin Dynamics Trajectory
Hamiltonian Monte Carlo
Training EBMs
Training EBMs
Learning Gaussian Mixture
Visualization
Visualization
Developer Guide
Developer Guide
Contributing
Commit Conventions
Development Setup
Code Style
Testing Guide
Project Structure
Design Principles
Core Components
Implementation Details
Implementation Details
Energy Functions
Samplers
Architecture
API Design
API Generation
Performance Optimization
Blog
FAQ
Table of contents
Contents
Modules
API Reference
datasets
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