AdamCobb / hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

AdamCobb/hamiltorch Issues

Saving models
Closed 7 months ago1
Evaluating the gradient within the log probability function?
Updated 10 months ago
Great package -- but code quality could be improved
Updated a year ago1
Is there an easy extension for SGMCMC such as SGLD and SGHMC?
Closed a year ago2
log_prob() with additional arguments
Updated a year ago
Arbitrary likelihoods using torch distributions
Closed 2 years ago1
compute a KL divergence between a Gaussian Mixture model prior and a normal distribution posterior
Updated 2 years ago
LSTM model
Closed 2 years ago1
torch.triangular_solve deprecated
Closed 2 years ago1
Number of steps per sample with No-U-Turn Sampler
Closed 4 years ago3
AttributeError: 'list' object has no attribute 'parameters'
Closed 3 years ago3
Custom model_loss for Bayesian PINN
Updated 3 years ago4
HELP
Updated 3 years ago
progress bar issue
Updated 3 years ago2
change the default prior to bounded prior
Closed 4 years ago2
Add an option to disable printing progress while sampling
Updated 4 years ago
predict_model() got multiple values for argument 'samples'
Closed 4 years ago1
Slightly more optimized hyperparams for CNN on MNIST
Updated 4 years ago1
Conversion of model to functional breaks with internal methods
Updated 4 years ago1
No support for nested modules
Closed 5 years ago4
previous sample not appended upon rejection?
Closed 5 years ago1