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Sergei Sokolov sergiks

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  • Russia | Europe | Thailand
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@ErikAugust
ErikAugust / spectre.c
Last active October 7, 2025 15:37
Spectre example code
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#ifdef _MSC_VER
#include <intrin.h> /* for rdtscp and clflush */
#pragma optimize("gt",on)
#else
#include <x86intrin.h> /* for rdtscp and clflush */
#endif
@oscarmorrison
oscarmorrison / d3Importer.js
Last active March 6, 2024 12:50
Modularly import only the D3.js modules you require
import { line, curve, curveCatmullRom } from "d3-shape";
import { scaleTime, scaleLinear } from "d3-scale";
import { axisBottom, axisLeft } from 'd3-axis';
import { timeParse, isoFormat } from "d3-time-format";
import { select } from "d3-selection";
import { extent, max, min } from "d3-array";
export default {
line: line,
scaleTime: scaleTime,
@mbostock
mbostock / .block
Last active November 11, 2025 04:21
Density Contours
license: gpl-3.0
redirect: https://observablehq.com/@d3/d3-density-contours
@zmts
zmts / tokens.md
Last active December 3, 2025 15:55
Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Last major update: 25.08.2020

  • Что такое авторизация/аутентификация
  • Где хранить токены
  • Как ставить куки ?
  • Процесс логина
  • Процесс рефреш токенов
  • Кража токенов/Механизм контроля токенов
@andreibosco
andreibosco / creative-cloud-disable.md
Last active December 19, 2024 08:28
disable creative cloud startup on mac
@sid24rane
sid24rane / net.js
Last active June 29, 2025 18:15
Simple TCP Client and Server in Node.js (Covering all useful Properties & Methods)
var net = require('net');
// creates the server
var server = net.createServer();
//emitted when server closes ...not emitted until all connections closes.
server.on('close',function(){
console.log('Server closed !');
});
@fchollet
fchollet / classifier_from_little_data_script_3.py
Last active February 26, 2025 01:37
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
@subfuzion
subfuzion / curl.md
Last active December 5, 2025 19:15
curl POST examples

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

@spalladino
spalladino / mysql-docker.sh
Created December 22, 2015 13:47
Backup and restore a mysql database from a running Docker mysql container
# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql
# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE
@vinhkhuc
vinhkhuc / simple_mlp_tensorflow.py
Last active June 9, 2025 19:00
Simple Feedforward Neural Network using TensorFlow
# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0
# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# Similarly, for h * W_2 + b_2
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split