Xuejian Rong ionvision

## stopwatch.py
import datetime

class Timer(object):
    """A simple timer class"""

    def __init__(self):
        pass

    def start(self):
        """Starts the timer"""

## bobp-python.md

      
              1 file
            
          
              569 forks
            
          
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                sloria
                / bobp-python.md
            
            
              Last active
              June 12, 2024 15:02
            
              
                A "Best of the Best Practices" (BOBP) guide to developing in Python.
              
          
    The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.
In General

Values


"Build tools for others that you want to be built for you." - Kenneth Reitz
"Simplicity is alway better than functionality." - Pieter Hintjens


## iterm2-solarized.md

      
              2 files
            
          
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                / iterm2-solarized.md
            
            
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              June 8, 2024 10:07
            
              
                iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)
              
          
    Default


Powerlevel10k


## software_for_scientists.md

      
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                stared
                / software_for_scientists.md
            
            
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                Software for scientists: community-edited list of general-purpose software for scientists.
              
          
    Software for scientists

Some things takes much less time and stress once you know the right tool.
Below, there is a community edited list of software for scientists.
Text editors

in
General purpose text/code editors.
It may be better to have a good editor for everything, than different ones for different languages, scripts, notes.

  
## ffmpeg-extract-keyframes.sh
ffmpeg -ss <start_time> -i video.mp4 -t <duration> -q:v 2 -vf select="eq(pict_type\,PICT_TYPE_I)" -vsync 0 frame%03d.jpg

## h5py_create_image_dataset.py
# images to hdf5
# https://groups.google.com/forum/#!topic/h5py/9sA18XbC_ao
# https://github.com/h5py/h5py/issues/268
import h5py
import numpy

def create_image_dataset(group, dataset_name, image, **kwargs):
    """

    Create a dataset respecting the HDF5 image specification

## Caffe + Ubuntu 12.04 64bit + CUDA 6.5 配置说明.md

      
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                bearpaw
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                Caffe + Ubuntu 12.04 / 14.04 64bit + CUDA 6.5 / 7.0 配置说明
              
          
    Caffe + Ubuntu 12.04 64bit + CUDA 6.5 配置说明

本步骤能实现用Intel核芯显卡来进行显示， 用NVIDIA GPU进行计算。
1. 安装开发所需的依赖包

安装开发所需要的一些基本包
sudo apt-get install build-essential
sudo apt-get install vim cmake git
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev

  
## gist:587454dc0146a6ae21fc
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:

  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## 3_install_deeplearning_libs.sh
#!/usr/bin/env bash
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License

orig_executor="$(whoami)"
if [ "$(whoami)" == "root" ]; then
  echo "running as root, please run as user you want to have stuff installed as"
  exit 1
fi
###################################
	import datetime

	class Timer(object):
	"""A simple timer class"""

	def __init__(self):
	pass

	def start(self):
	"""Starts the timer"""
	# images to hdf5
	# https://groups.google.com/forum/#!topic/h5py/9sA18XbC_ao
	# https://github.com/h5py/h5py/issues/268
	import h5py
	import numpy

	def create_image_dataset(group, dataset_name, image, **kwargs):
	"""

	Create a dataset respecting the HDF5 image specification
	"""
	This is a batched LSTM forward and backward pass
	"""
	import numpy as np
	import code

	class LSTM:

	@staticmethod
	def init(input_size, hidden_size, fancy_forget_bias_init = 3):
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	#!/usr/bin/env bash
	# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
	# BSD License

	orig_executor="$(whoami)"
	if [ "$(whoami)" == "root" ]; then
	echo "running as root, please run as user you want to have stuff installed as"
	exit 1
	fi
	###################################