Jesper Wohlert wohlert

## Backpropagation.ipynb

      
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                wohlert
                / Backpropagation.ipynb
            
            
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              October 30, 2018 15:58
            
              
                Tutorial describing backpropagation in a MLP
              
          
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## hmc.py
import numpy as np


class HamiltonianMC(object):
    """
    Hamiltonian/hybrid Monte Carlo

    Uses Hamiltonian dynamics to make proposals using
    kinetic energy of the proposal. Employs leapfrog
    integration for time-reversibility and to ensure

## Sinkhorn-solver.ipynb

      
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                wohlert
                / Sinkhorn-solver.ipynb
            
            
              Created
              April 3, 2019 11:43
            
              
                Sinkhorn solver in PyTorch
              
          
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## baselayer.py
"""
Registers jacobian for basic PyTorch layers
"""
import torch
from torch import nn

from .metric import register_jacobian


@register_jacobian(nn.Linear)
	import numpy as np


	class HamiltonianMC(object):
	"""
	Hamiltonian/hybrid Monte Carlo

	Uses Hamiltonian dynamics to make proposals using
	kinetic energy of the proposal. Employs leapfrog
	integration for time-reversibility and to ensure
	"""
	Registers jacobian for basic PyTorch layers
	"""
	import torch
	from torch import nn

	from .metric import register_jacobian


	@register_jacobian(nn.Linear)