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@ageron
ageron / custom_model_persistence_error.py
Last active April 2, 2019 15:18
import numpy as np
from tensorflow import keras
import traceback
class ResidualBlock(keras.layers.Layer):
def __init__(self, n_layers, n_neurons, **kwargs):
super().__init__(**kwargs)
self.n_layers = n_layers
self.n_neurons = n_neurons
self.hidden = [keras.layers.Dense(n_neurons, activation="elu",
@cbaziotis
cbaziotis / AttentionWithContext.py
Last active April 25, 2022 14:37
Keras Layer that implements an Attention mechanism, with a context/query vector, for temporal data. Supports Masking. Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] "Hierarchical Attention Networks for Document Classification"
def dot_product(x, kernel):
"""
Wrapper for dot product operation, in order to be compatible with both
Theano and Tensorflow
Args:
x (): input
kernel (): weights
Returns:
"""
if K.backend() == 'tensorflow':
@loderunner
loderunner / osx-ld.md
Last active November 16, 2024 01:36
potential blog posts

ld – Wading through Mac OS X linker hell

Intro

Friend: I tried looking at static linking in Mac OS X and it seems nearly impossible. Take a look at this http://stackoverflow.com/a/3801032

Me: I have no idea what that -static flag does, but I'm pretty sure that's not how you link to a library. Let me RTFM a bit.

Minutes later...

@zedar
zedar / ApacheHadoop_NativeLibs.adoc
Last active August 13, 2020 00:59
Add native libraries to Apache Hadoop installation

Apache Hadoop - add native libraries

If native libraries are not available the following message is displayed with every hadoop command: hadoop checknative

WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

  • Clone hadoop source code






  


  




    


          
    

      

        
        

          

              @rmcgibbo
          

          

            
                rmcgibbo
                / install.md
            
            

              Last active
              October 14, 2021 00:17
            

              
                Scientific Python From Source, with MKL

              
          

        

      

        

  

      

    
Scientific Python From Source


This document will walk you through compiling your own scientific python distribution from source,
without sudo, on a linux machine. The core numpy and scipy libraries will be linked against
Intel MKL for maximum performance.


This procedure has been tested with Rocks Cluster Linux 6.0 (Mamba) and CentOS 6.3.


Compiling Python From Source



  


  




    


          
    

      

        
        

          

              @dideler
          

          

            
                dideler
                / python-colours.md
            
            

              Last active
              May 23, 2024 12:37
            

              
                Formatted output in the terminal (using Python)
              
          

        

      

        

  

      

    
Most (or all) of these methods make use of ANSI escape sequences.


Straight-up


For example, using a dictionary:


ansi = {'underline': '\033[4m', 'bold': '\033[1m', 'end':'\033[0m'}
print '{[bold]}Hello World{[end]}'.format(ansi, ansi)