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Author: pqxk8 (page 1 of 4)


Hello, hello.

With the current boom in the concurrency and block-chain world, I’ve decided I want to learn more about the open source crypto projects, how popular they are and how often these projects are updated. After going to github and bitbucket and manually searching for projects I’ve came to a decision that I need to build a portal that would track all of the interest points for me automatically. And as it is a portal, it might be useful for you as well.
So in a few weekends and united work of 3 coders – came to life.

The project is still in very early phase – but it does provide hourly updates and a very sleek UI – thanks to my wife:-)
We have a few items on the road-map, such as adding market capitalization, introducing machine learning based on the git and market data and a bit friendlier mobile experience.

Hopefully you enjoy the portal!

MXNet and Tensorboard

The notebook shows how to visualize accuracy and gradient of a MXNet network (gluon) via stand-alone Tensorboard.

MXNet is a machine learning framework.

Tensorboard stand-alone that could run independently of Tensorflow.

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Image and video colorization using pre-trained pix2pix

This IPython notebook shows how to use pre-trained pix2pix generator to colorize black and white images. The network was trained as part of the experiments in

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Example of using

Python, MXNet and pix2pix image translation.

I’ve been doing some self-study around machine learning and deep learning, and once upon a time stumbled on a unsupervised image to image translation network called pix2pix .

Very interesting network architecture. I’ve looked at it from the perspective of image colorization. It seems like a great option and it trains quite quickly. Although I haven’t had a large enough training set to gather any specific metrics, it feels like it would generalize well on range of images.

There are several implementations of pix2pix available in the frameworks like Tensorflow, Caffe, and Scala/MXNet.

My version of pix2pix here is in Python and MXNet, aiming to colorize 256×256 images using GPU and CUDA.

Installing or upgrading to MXNet version 0.12.1 on Windows 10

This post is a continuation and somewhat a revision of  “Installing MXNet on Windows 10”

MXNet is evolving and recently there was a release of version 0.12

I want to share the upgrade process that worked for me on my Windows 10 machine. You can use this tutorial as installation tutorial of MXNet 0.12

First, we will need to create a folder somewhere called mxnet-0.12, I’ve placed mine on the D drive, so I have

After we have a folder for the installation, lets go to and download two packages:

  1. VC14 – vc14 v2 base package
  2. GPU ( or CPU) pre-built package – at the moment of writing it was 20171127_mxnet_x64_vc14_gpu_cu80.7z

Unpack VC14 v2 first in the mxnet-0.12 folder and after that do the same with the GPU archive.

If you are using GPU version of MXNet, you will need to add CUDAlibraries to the folder called 3rd party.

You can register at NVIDIA web-site and get required cuDNN  library for free. You will need to use

CUDA 8 / cuDNN v5.1 Library for Windows 10

The file should be placed into:


Now in the root of the mxnet-0.12 folder look for a file called setupenv.cmd and run it as Administrator.

This execution of the .cmd file should adjust the PATH, and add MXNET_HOME environment variable.

MXNET_HOME should just point to the location of the mxnet-0.12 folder.

When all above is done, activate either Python 3.6 or Python 2.7 64-bit environment of your choice – Anaconda, virtualenv or Python binary native to the operating system.

Usually you do that by issuing command source activate [environment name] In my case, it is just source activate mxnet which I’ve created earlier using Anaconda Python 3.6 64bit installation.

Once the environment is active, go to the MXNET_HOME\python and run

python install

It should upgrade or install your MXNet package. Enjoy!

One of the greatest comedies of all

Tucker and Dale vs Evil

I can see that a movie is promising just by spotting in the plot a group of students going out for an outdoors vacation. It is just the best type of plot. There are infinite amount of possibilities what could happen to a group of young, mostly intoxicated and extremely self confident people that hanging out in a forest.

For instance, our students could – hallucinate, get kidnapped, be tortured, ride ponies, try to find a way to Mordor, fight giant spiders, fight giant giants, get more intoxicated, lose confidence, and it just goes on and on.  No spoilers.

The cast is on spot.

Alan Tudyk and Tyler Labine are perfect as the main characters. Their work is organic, and they bring the whole concept of empathy on a different level. You will understand them, and you will feel their struggle and, the bias they experience will be the bias you experience. Especially if you ever lived in a village or a farm. 

The group of students were Great. Loud. Judgmental. They just make you side with them from the first scenes 🙂

The setting of the piece is quite a forest!

Actually, everything about this comedy is remarkable, especially an old house! The old house is one of the funniest old houses that I’ve seen. It has its own character, and its own jokes. It gets grumpy sometimes.

The story is quite self-destructive, in a good way though.

Well, please, rent it and watch it. Highly recommended.


Lunch shaming

After encountering several articles on lunch shaming of some kids, whose parent can not afford a meal – I’ve saddened.

Who in a sane mind would come up with an idea to put  a label ‘poor’ on a kid, or ask a kid to clean tables in front of the peers.

Kid can not afford food not because it is his fault. Work with the damn government on the issue. Work on increasing minimum wage, introducing single payer healthcare and some sort of a social safety net.

There are million scenarios when hard-working families would not be able to afford food for their kid.

A huge medical bill, that sucks money out of a family, who is struggling on payments just not to ruin their credit history.

A minimum wage job with no over-time pay, that has to feed family of four.

A recent unemployment, when the government doesn’t provide any substantial support, besides dragging your ass to fill-out endless amount of paperwork and spend your time on artificial and in-efficient, bureaucracy run workforce re-entrance classes.

I can continue with it, but I hope you get me.

As a very brief example, a homeless and unemployed friend of mine, who lives in California, gets about $200 dollars in food stamps every month. In order to receive another $200 in cash, which he doesn’t get at the moment, he has to check his mail ( and he doesn’t have an address) almost every month for random acts of identity checks and other bureaucratic bullshit. My friend doesn’t have a kid, but if he had one, I am sure the kid would not be able to pay for his food in a school.

I hope one day people will stop poverty-blame.

Poverty, in most cases, is a side effect of an unjust system. Look around people, look at the government spending, corruption, bloated salaries of city officials, inefficient work practices of bureaucratic machines.

It is broken government who leave people behind, in debts and unemployed. It is broken government who leave kids hungry and shamed for being poor; Not a parent who is working hard and still has an anxiety every day of his or her life that tomorrow there will be nothing in the fridge to eat.

Ryuzo and the Seven Henchmen

Recently watched another masterpiece from Takeshi Kitano.

Plot in a twitter format: Old yakuza gathers his very old yakuza friends to do some brutal yakuza stuff and compete for turf of a small Japanese town.

The movie is full of humor and subtle and gentle moments that reflect on the matters of our short lives and temporary friendships. It is shot in a calm, very Kitano manner and gives a great, pacifying visual experience.

If you want to get away from once again Beauty and King Kong, check it out.

My rating:

8/10, yanking two points for poor special effects.


MXNet provides a Python utility to create RecordIO packages of data that are supported by framework’s data iterators.

Little detail, the doesn’t support .png files, unless you manually adjust the script and add it as allowed extensions.

In order to create a rec file, you first need to make a list of files using this command:

After you get .lst files, lets create a record set.

Record objects will be about the same size as the data that being used for the objects.

here we eliminating –list argument so the script will be working on .rec files.

At the end of its execution, it should display something like

and in the folder where you have your dataset you will see files

and same for train and validation sets.



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