Mauricio Villegas mauvilsa

## README.md

      
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                zoilomora
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                How to disable systemd-resolved in Ubuntu
              
          
    How to disable systemd-resolved in Ubuntu

Stages


Disable and stop the systemd-resolved service:
  sudo systemctl disable systemd-resolved.service
  sudo systemctl stop systemd-resolved


Then put the following line in the [main] section of your /etc/NetworkManager/NetworkManager.conf:


## multiple-repository-and-identities-git-configuration.md

      
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                bgauduch
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              June 18, 2024 15:14
            
              
                Git config with multiple identities and multiple repositories
              
          
    Setup multiple git identities & git user informations


/!\ Be very carrefull in your setup : any misconfiguration make all the git config to fail silently !
Go trought this guide step by step and it should be fine 😉

Setup multiple git ssh identities for git


Generate your SSH keys as per your git provider documentation.
Add each public SSH keys to your git providers acounts.
In your ~/.ssh/config, set each ssh key for each repository as in this exemple:


## top_k_viterbi.py
import torch

# Credits to AllenNLP for the base implementation and base tests:
# https://github.com/allenai/allennlp/blob/master/allennlp/nn/util.py#L174

# Modified AllenNLP `viterbi_decode` to support `top_k` sequences efficiently.
def viterbi_decode(tag_sequence: torch.Tensor, transition_matrix: torch.Tensor, top_k: int=5):
    """
    Perform Viterbi decoding in log space over a sequence given a transition matrix
    specifying pairwise (transition) potentials between tags and a matrix of shape
	import torch

	# Credits to AllenNLP for the base implementation and base tests:
	# https://github.com/allenai/allennlp/blob/master/allennlp/nn/util.py#L174

	# Modified AllenNLP `viterbi_decode` to support `top_k` sequences efficiently.
	def viterbi_decode(tag_sequence: torch.Tensor, transition_matrix: torch.Tensor, top_k: int=5):
	"""
	Perform Viterbi decoding in log space over a sequence given a transition matrix
	specifying pairwise (transition) potentials between tags and a matrix of shape