vedantroy

function findActivePageAndSaveCanvas() {
  // Get all document pages
  const pages = document.querySelectorAll('.document-page');
  // Loop through all pages to find the active one (with a canvas)
  for (let i = 0; i < pages.length; i++) {
    const canvas = pages[i].querySelector('canvas');
    // If this page has a canvas, it's active
    if (canvas) {
      console.log(`Active page found: Page ${i + 1}`);
      // Save the canvas as an image

vedantroy

import Database from 'better-sqlite3';
import { createDatabaseClient } from './proxy.ts';

// 1) Create an in-memory DB and your table(s).
const db = new Database(':memory:');
db.exec(`
  CREATE TABLE users (
    id TEXT PRIMARY KEY,
    data JSON
  );

vedantroy

lambda image: blur(color_jitter(random_crop(image))

vedantroy

#! /bin/bash
set -euxo pipefail

job_file="cluster_jobs/${1}.py"
if [[ ! -f "${job_file}" ]]; then
	echo "${job_file} not found"
	exit 1
fi

RAY_ADDRESS=${RAY_ADDRESS:-""}

vedantroy

from types import SimpleNamespace

import yahp as hp
import torch
from torch import nn
from torch.autograd import Function as Function
from einops import rearrange
from einops.layers.torch import Rearrange

# A one-file implementation of the reversible VIT architecture

vedantroy

"""run.py:"""
#!/usr/bin/env python
import os
import torch
import torch.distributed as dist
import torch.multiprocessing as mp

def run(rank, size):
    """ Distributed function to be implemented later. """
    pass

vedantroy

import numpy as np


def single_matrix():
    x = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
    I, J, K = x.shape
    x_ein = np.einsum("ijk->ij", x)

    x_loop = np.empty((I, J))
    for i in range(I):

vedantroy

import torch
import torch.nn as nn

from params import params 

# NOTATION:
# W_k = W (k as subscript)
# Wk = W (k as superscript)

class MultiHeadAttention(nn.Module):

vedantroy

import React from "react";
import { fromPairs } from "lodash-es";
import clsx from "clsx";

// This is my styled-components replacement
// Taken from:
// https://github.com/MathiasGilson/Tailwind-Styled-Component/blob/master/src/domElements.ts
const elementsArray: (keyof JSX.IntrinsicElements)[] = [
  "a",
  "abbr",