Moumal Al-Saady CoderCowMoo

Learnt to code first in Python and then wanted to get closer to the metal so I learnt C++ then dipped my toe into assembly and now loving Rust very much.

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CoderCowMoo / game_of_life.html

Created January 24, 2025 15:42

Game of life in a single html

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Game of Life Canvas</title>
	<style>
	body {
	display: flex;
	flex-direction: column;

CoderCowMoo / arithmetic_coding_v1.py

Created January 21, 2025 16:50

Arithmetic Coding Simple 1.2mb - 697.41kb

	# OK time to arithmetic code. V1 because its so simplistic as a concept
	# I'll make a dictionary of all unique symbols in the string (rather than
	# a predefined dict)
	# and I'll go ahead and subdivide and add it to a running total.
	from collections import Counter
	from sys import getsizeof

	text = "Hello world!"
	text_dc = {s:i for i,s in enumerate(sorted(set(text)))}
	print(text_dc)

CoderCowMoo / merge-updated.py

Created May 5, 2024 14:17

	from safetensors import safe_open
	import einops
	import torch
	from transformers import AutoModelForCausalLM

	def get_orthogonalized_matrix(matrix: Float[Tensor, '... d_model'], vec: Float[Tensor, 'd_model']) -> Float[Tensor, '... d_model']:
	device = matrix.device
	vec = vec.to(device)
	proj = einops.einsum(matrix, vec.view(-1, 1), '... d_model, d_model single -> ... single') * vec
	return matrix - proj

CoderCowMoo / __main__.py

Last active April 26, 2024 15:27

	import argparse
	import sys
	import os.path as path
	import torch
	import torch.nn as nn
	from PIL import Image
	from transformers import (
	AutoTokenizer,
	LlamaForCausalLM,
	BitsAndBytesConfig,

CoderCowMoo / watch_it.ps1

Last active April 25, 2024 10:51

	# You take too many clips and its using up all your storage space?
	# Don't know what to do?
	# just save this file and make a .bat or shortcut file with the following content
	# powershell.exe -NoExit -command "& 'C:\A path with spaces\watch_it.ps1' -filePath 'C:\Wherever you save videos'"
	# you also have to edit below where the ffmpeg executable is.
	# Geforce experience defaults to C:\Users\User\Videos
	# This'll watch every directory there, and spawn a ffmpeg process for each video created,

	param(
	[Parameter(Mandatory=$true)][ValidateScript({ Test-Path -Path $_ })][string]$filePath

CoderCowMoo / nanollava_gradio_demo_with_streaming.py

Last active April 18, 2024 11:42

	import torch
	import transformers
	import gradio as gr
	import PIL
	from threading import Thread
	from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
	import warnings

	# disable some warnings
	transformers.logging.set_verbosity_error()

CoderCowMoo / nanollava_gradio_demo.py

Last active April 18, 2024 11:43

	import torch
	import transformers
	import gradio as gr
	import PIL
	from threading import Thread
	from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
	import warnings

	# disable some warnings
	transformers.logging.set_verbosity_error()

CoderCowMoo / nanollava_py_inference.py

Created April 17, 2024 16:15

	import torch
	import transformers
	from transformers import AutoModelForCausalLM, AutoTokenizer
	from PIL import Image
	import warnings

	# disable some warnings
	transformers.logging.set_verbosity_error()
	transformers.logging.disable_progress_bar()
	warnings.filterwarnings('ignore')

CoderCowMoo / real-time-speech-to-image.ipynb

Last active April 15, 2024 13:11

Real Time Speech to Imagev1.ipynb

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CoderCowMoo / fizzbuzz.py

Created September 12, 2022 10:51

	def main():
	for i in range(1, 101):
	if i % 15 == 0:
	print("Fizzbuzz")
	continue
	if i % 5 == 0:
	print("Buzz")
	continue
	if i % 3 == 0:
	print("Fizz")

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