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@DestinyOne
DestinyOne / Instruction.md
Last active April 4, 2024 18:56
Letting ubuntu bash on Windows 10 run 'ssh -X' to get a GUI environment in a remote server

Letting Ubuntu bash on Windows 10 run 'ssh -X' to get a GUI environment on a remote server

  • First

Install all the following. On Window, install Xming. On Ubuntu bash, use sudo apt install to install ssh xauth xorg.

sudo apt install ssh xauth xorg
@Geoyi
Geoyi / install virtualenv ubuntu 16.04.md
Created September 16, 2017 12:19 — forked from frfahim/install virtualenv ubuntu 16.04.md
How to install virtual environment on ubuntu 16.04

How to install virtualenv:

Install pip first

sudo apt-get install python3-pip

Then install virtualenv using pip3

sudo pip3 install virtualenv 
@tokestermw
tokestermw / restore_tf_models.py
Created February 21, 2017 21:09
Restoring frozen models are hard in TensorFlow.
"""
Play with saving .
Closest:
https://github.com/tensorflow/tensorflow/issues/616#issuecomment-205620223
"""
import numpy as np
import tensorflow as tf
from tensorflow.python.platform import gfile

Oh my zsh.

Install with curl

sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"

Enabling Plugins (zsh-autosuggestions & zsh-syntax-highlighting)

  • Download zsh-autosuggestions by
@fchollet
fchollet / classifier_from_little_data_script_3.py
Last active September 13, 2023 03:34
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
@arundasan91
arundasan91 / CaffeInstallation.md
Created April 2, 2016 22:16
Caffe Installation Tutorial for beginners

Caffe

Freshly brewed !

With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.

Installation Instructions (Ubuntu 14 Trusty)

The following section is divided in to two parts. Caffe's documentation suggest

@blackfalcon
blackfalcon / git-feature-workflow.md
Last active April 13, 2024 07:33
Git basics - a general workflow

Git-workflow vs feature branching

When working with Git, there are two prevailing workflows are Git workflow and feature branches. IMHO, being more of a subscriber to continuous integration, I feel that the feature branch workflow is better suited, and the focus of this article.

If you are new to Git and Git-workflows, I suggest reading the atlassian.com Git Workflow article in addition to this as there is more detail there than presented here.

I admit, using Bash in the command line with the standard configuration leaves a bit to be desired when it comes to awareness of state. A tool that I suggest using follows these instructions on setting up GIT Bash autocompletion. This tool will assist you to better visualize the state of a branc