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Andrey Nikishaev
Andrey Nikishaev

4.2K Followers

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Published in

Machine Learning World

·Pinned

Tips for quick optimization of Linux servers for high loads

1. Netfilter connection tracking Simply put, this is a huge hash table that stores information about the state of all connections in the context of the device (server). This is necessary for all sorts of filters, firewalls, etc. In certain cases, when the server is protected by another device in front of it, and…

Linux

4 min read

Tips for quick optimization of Linux servers for high loads
Tips for quick optimization of Linux servers for high loads
Linux

4 min read


Published in

Machine Learning World

·Pinned

Motivation systems

Today we will talk about motivation systems, where I want to show few ways of developing such in your company and their pros/cons. Building motivation is not a simple task and many times in different companies I saw how motivation systems not only didn’t work but often making harm to…

Motivation

7 min read

Motivation systems
Motivation systems
Motivation

7 min read


Pinned

Writing Proof Of Work Blockchain full-node from scratch

In this article, I want to cover a simplified but working example of decentralized Blockchain based on Proof Of Work algorithm, some sort of simplified Bitcoin. You can think about it as a simplified version of Bitcoin. What I will describe: - PoW blockchain theory - How to write blockchain…

Blockchain

9 min read

Writing Proof Of Work Blockchain full-node from scratch
Writing Proof Of Work Blockchain full-node from scratch
Blockchain

9 min read


Jun 3

Быстрая оптимизация Linux серверов под высокие нагрузки

1. Netfilter connection tracking Если просто — это огромная хеш таблица которая хранит в себе инфу о стейте всех подключений в разрезе девайса(сервера). Это необходимо для разного рода фильтров, фаерволов и подобного. В определенных случаях когда сервер защищен другим девайсом перед ним, и требует доп ресурсов этот трекинг можно отключить. sudo modprobe -r nf_conntrack …

Linux

4 min read

Быстрая оптимизация Linux серверов под высокие нагрузки
Быстрая оптимизация Linux серверов под высокие нагрузки
Linux

4 min read


Apr 22, 2022

How to make linux kernel with Nasm, Go binary, mini linux

Github link for project: https://github.com/creotiv/howto-bootable-golang-binary Pre-install Some things needed for building & running stuff apt-get install bison flex nasm qemu-system-x86_64 libelf-dev bc Nasm simple example Standard boot sector is 512 bytes that should end with 0xaa55 bytes. I’ve created simple Nasm script that print “Hello Wolrd!” on boot. [org 0x7c00] mov ah, 0x0e mov bx, hello…

Linux Kernel

3 min read

How to make linux kernel with Nasm, Go binary, mini linux
How to make linux kernel with Nasm, Go binary, mini linux
Linux Kernel

3 min read


Apr 13, 2022

Start learn pentesting/hacking. The Red Team

Created github page with useful materials for those who starting to learn pentesting/hacking. All materials checked by myself. GitHub - creotiv/start-learn-pentesting-red-team !!! Always do all work from VM or dedicated machine for that, remember that all tools that you install may have some …github.com !!! Always do all work from VM or dedicated machine for that, remember that all tools that you install may have some malware(mostly not but risk exists). So you should prevent them…

Pentesting

2 min read

Pentesting

2 min read


Published in

React Native Development

·Oct 25, 2021

Tutorial: Making dVPN desktop application with Electron & React

Making client application. Hello friends, in this tutorial we will show how to build the simplest desktop dVPN application based on the Electron framework and will cover the main parts of the dVPN client, to give you an understanding of how they interact. For those who want’s to go straight to the code…

Dvpn

4 min read

Tutorial: Making dVPN desktop application with Electron & React
Tutorial: Making dVPN desktop application with Electron & React
Dvpn

4 min read


Published in

Machine Learning World

·Apr 24, 2021

Implementing Convolution2D, Linear regressions and K-means clustering from scratch

2D Convolution For running convolution we need 2 things: input matrix with shape (Batch, Channels, Height, Width) and kernels of our convolution with shape (Out Channels, Input Channels, Height, Width), for each input channel we use different kernel. Iteratively we get part of the input matrix with the size of kernel and…

Implementation

3 min read

Implementing Convolution2D, Linear regressions and K-means clustering from scratch
Implementing Convolution2D, Linear regressions and K-means clustering from scratch
Implementation

3 min read


Mar 19, 2020

ReactNative Best Practices & Libs 2020

Most of the things you should to know about React-Native in 2020 Best Practices Platform-specific styles https://reactnative.dev/docs/platform-specific-code#platform-module Platform-specific modules For example, say you have the following files in your project: BigButton.ios.js BigButton.android.js You can then require the component as follows: import BigButton from './BigButton'; Use React-Redux and for more hard cases React-Saga

React Native

3 min read

ReactNative Best Practices & Libs 2020
ReactNative Best Practices & Libs 2020
React Native

3 min read


Jan 31, 2020

Making Backpropagation, Autograd, MNIST Classifier from scratch in Python

Backpropagation (backward propagation of errors) — is a widely used algorithm in training feedforward networks. It computes the gradient of the loss function with respect to the weights of the network. The main idea of it is to break big functions in small parts and use partial derivatives to get…

Backpropagation

3 min read

Making Backpropagation, Autograd, MNIST Classifier from scratch in Python
Making Backpropagation, Autograd, MNIST Classifier from scratch in Python
Backpropagation

3 min read

Andrey Nikishaev

Andrey Nikishaev

4.2K Followers

Machine Learning and Computer Vision Researcher. Founder LearnML.Today

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