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Dmitrii I Dmitrii-I

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"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@moyix
moyix / killbutmakeitlooklikeanaccident.sh
Created February 5, 2022 22:51
Script to inject an exit(0) syscall into a running process. NB: only x86_64 for now!
#!/bin/bash
gdb -p "$1" -batch -ex 'set {short}$rip = 0x050f' -ex 'set $rax=231' -ex 'set $rdi=0' -ex 'cont'
As of May 29, 2021, the available Linode types are:
g6-nanode-1
g6-standard-1
g6-standard-2
g6-standard-4
g6-standard-6
g6-standard-8
g6-standard-16
g6-standard-20
Rank Type Prefix/Suffix Length
1 Prefix my+ 2
2 Suffix +online 6
3 Prefix the+ 3
4 Suffix +web 3
5 Suffix +media 5
6 Prefix web+ 3
7 Suffix +world 5
8 Suffix +net 3
9 Prefix go+ 2
@fnky
fnky / ANSI.md
Last active March 8, 2026 02:47
ANSI Escape Codes

ANSI Escape Sequences

Standard escape codes are prefixed with Escape:

  • Ctrl-Key: ^[
  • Octal: \033
  • Unicode: \u001b
  • Hexadecimal: \x1B
  • Decimal: 27
@jsomers
jsomers / websockets.md
Created September 27, 2018 12:50
Using websockets to easily build GUIs for Python programs

Using websockets to easily build GUIs for Python programs

I recently built a small agent-based model using Python and wanted to visualize the model in action. But as much as Python is an ideal tool for scientific computation (numpy, scipy, matplotlib), it's not as good for dynamic visualization (pygame?).

You know what's a very mature and flexible tool for drawing graphics? The DOM! For simple graphics you can use HTML and CSS; for more complicated stuff you can use Canvas, SVG, or WebGL. There are countless frameworks, libraries, and tutorials to help you draw exactly what you need. In my case, this was the animation I wanted:

high-priority

(Each row represents a "worker" in my model, and each rectangle represents a "task.")

@andrewstellman
andrewstellman / Analysis.md
Last active April 15, 2019 12:07
3-point shot percentage after other team makes or misses (NBA 2017-2018 season)

Analysis: 3-point shot percentage after other team makes or misses

This analysis shows how pbprdf was used to analyze NBA players' 3-point shot percentage after a player on the other team either made or missed a shot over the 2017-2018 regular season.

Overview

We're interested in finding 3-point shots that were made immediately after a 3-point shot taken by the other team. The way we do this is by running a SPARQL query that calculates each player's season 3-point shot percentage, the 3P% after a player on the other team misses, and the 3P% after a player on the other team makes. We want to calculate the percentage of 3-point shots that they make or miss when we include only shots that they took immediately after a player on the other team took a 3-pointer (within two lines on the play-by-play).

Here's the data that we're using to do this analysis. Each play has a set of triples that inc

@nadavrot
nadavrot / Matrix.md
Last active February 28, 2026 07:55
Efficient matrix multiplication

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

@aparrish
aparrish / understanding-word-vectors.ipynb
Last active December 18, 2025 05:55
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@calstad
calstad / TDA_resources.md
Last active September 29, 2025 12:57
List of resources for TDA

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

Other Papers and Web Resources