SharanSMenon / init.vim

Created August 5, 2022 20:54

Basic Neovim Configuration

	call plug#begin("~/.vim/plugged")
	" Theme
	Plug 'arcticicestudio/nord-vim'

	" Language Client
	Plug 'neoclide/coc.nvim', {'branch': 'release'}
	let g:coc_global_extensions = ['coc-emmet', 'coc-css', 'coc-html', 'coc-json', 'coc-prettier', 'coc-tsserver', 'coc-python']
	" TypeScript Highlighting
	Plug 'vim-airline/vim-airline'
	Plug 'vim-airline/vim-airline-themes'

SharanSMenon / efficientnet-pytorch.md

Last active November 10, 2023 04:00

EfficientNet Implementation PyTorch

EfficientNet Implementation

An implementation of Efficientnet in PyTorch

Results

Pytorch

B0:

dougallj / aarch64_amx.py

Last active November 8, 2025 13:13

	# IDA (disassembler) and Hex-Rays (decompiler) plugin for Apple AMX
	#
	# WIP research. (This was edited to add more info after someone posted it to
	# Hacker News. Click "Revisions" to see full changes.)
	#
	# Copyright (c) 2020 dougallj


	# Based on Python port of VMX intrinsics plugin:
	# Copyright (c) 2019 w4kfu - Synacktiv

SharanSMenon / question_classification_cnn.ipynb

Created February 5, 2020 16:24

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SharanSMenon / Hex_and_Binary.md

Last active August 15, 2022 12:52

Hex and Binary Python

There are two python programs in this gist

The first one is binary_letters.py

It has two functions: binary_to_text and text_to_binary

The seconf one is hex_letters.py

It has two functions: string_to_hex and hex_to_string

engelen / argmax.js

Last active March 7, 2023 01:32

Single-line ArgMax for JavaScript

	/**
	* Retrieve the array key corresponding to the largest element in the array.
	*
	* @param {Array.<number>} array Input array
	* @return {number} Index of array element with largest value
	*/
	function argMax(array) {
	return array.map((x, i) => [x, i]).reduce((r, a) => (a[0] > r[0] ? a : r))[1];
	}

jaberg / dot_flops.py

Last active February 25, 2022 22:08

Measure GEMM speed via numpy.dot

	#!/bin/python
	import sys
	import time
	import numpy as np

	N = int(sys.argv[1])
	dtype = sys.argv[2]

	A = np.random.rand(N, N).astype(dtype)
	B = np.random.rand(N, N).astype(dtype)