abhe absudabsu

## conv3dnet.py

import tensorflow as tf
import numpy as np

FC_SIZE = 1024
DTYPE = tf.float32


def _weight_variable(name, shape):
    return tf.get_variable(name, shape, DTYPE, tf.truncated_normal_initializer(stddev=0.1))

## jupyterlab-docker.md

      
              1 file
            
          
              6 forks
            
          
              1 comment
            
          
              14 stars
            
          
                aprossi
                / jupyterlab-docker.md
            
            
              Last active
              September 26, 2021 07:16
            
          
    Run Jupyterlab on docker

Build starting from a Jupyter 2.x image.
Build

docker build -t jupyterlab .


## README.md

      
              4 files
            
          
              15 forks
            
          
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                amroamroamro
                / README.md
            
            
              Last active
              January 12, 2024 22:12
            
              
                [Python] Fitting plane/surface to a set of data points
              
          
    Python version of the MATLAB code in this Stack Overflow post:
https://stackoverflow.com/a/18648210/97160
The example shows how to determine the best-fit plane/surface
(1st or higher order polynomial) over a set of three-dimensional points.
Implemented in Python + NumPy + SciPy + matplotlib.


## Plot_Examples.md

      
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                gizmaa
                / Plot_Examples.md
            
            
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              May 8, 2024 13:38
            
              
                Various Julia plotting examples using PyPlot
              
          
    Plotting

Last Update: May 13, 2019

Offline Version
Contents


	Translating
	Important Note
	Basic Plot

  
## simple_mjpeg_streamer_http_server
#!/usr/bin/python
'''
	Author: Igor Maculan - n3wtron@gmail.com
	A Simple mjpg stream http server
'''
import cv2
import Image
import threading
from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
from SocketServer import ThreadingMixIn

	import tensorflow as tf
	import numpy as np

	FC_SIZE = 1024
	DTYPE = tf.float32


	def _weight_variable(name, shape):
	return tf.get_variable(name, shape, DTYPE, tf.truncated_normal_initializer(stddev=0.1))
	#!/usr/bin/python
	'''
	Author: Igor Maculan - n3wtron@gmail.com
	A Simple mjpg stream http server
	'''
	import cv2
	import Image
	import threading
	from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
	from SocketServer import ThreadingMixIn