jargnar

"""
I'm building a simple hybrid model to predict growth rate and production rate for a bioprocess.

Can you give me the most simplest form of Neural ODE in JAX. 
My ODE im trying to solve is a growth rate and production rate in context of bioprocess run data. 
Here are my model equations:

I want to first solve the ODE
D = dV/dt = f(t) + b

jargnar

"""
I'm building a simple hybrid model to predict 
growth rate and production rate for a bioprocess.
My Neural ODE solves for growth rate and 
production rate in context of bioprocess run data. 

Here are my model equations:
First
D = dV/dt = f(t) + b

jargnar

from flask import Flask, jsonify
import sqlite3

app = Flask(__name__)

DATABASE = 'movies.db'

def get_db_connection():
    conn = sqlite3.connect(DATABASE)
    conn.row_factory = sqlite3.Row

jargnar

import 'dart:typed_data';
import 'package:firebase_core/firebase_core.dart';
import 'package:cloud_firestore/cloud_firestore.dart';
import 'package:flutter/material.dart';
import 'dart:convert';
import 'package:intl/intl.dart';

class ArticleModel {
  String title;
  String body;

jargnar

// MIT
// Suhas Guruprasad, [email protected]

const puppeteer = require("puppeteer");
const fetch = require("node-fetch");
const imagemin = require("imagemin");
const imageminMozjpeg = require("imagemin-mozjpeg");
const fs = require("fs").promises;

jargnar

use std::collections::HashMap;
use std::cmp::min;

impl Solution {
    pub fn min_distance(word1: String, word2: String) -> i32 {
        let mut D: HashMap<(i32, i32), i32> = HashMap::new();
        let m = word1.len() as i32;
        let n = word2.len() as i32;

        let w1: Vec<char> = word1.chars().collect();

jargnar

use std::collections::HashMap;

impl Solution {
    pub fn fib(n: i32, cache: &mut HashMap<i32, i32>) -> i32 {
        if n <= 2 { return n; }
        else if !cache.contains_key(&(n-1)) && !cache.contains_key(&(n-2)) {
            let a = Self::fib(n - 1, cache);
            let b = Self::fib(n - 2, cache);

            cache.insert(n - 1, a);

jargnar

"""
The naive/stupid version where I actually created a tree... for unique paths...
<https://leetcode.com/problems/unique-paths>

before I realised we could just do simple DP of: #paths(i, j) = #paths(i, j + 1) + #paths(i + 1, j)

ouch.
"""

jargnar

s0, r0, g0, p0, n0 = :C3, :D3, :E3, :G3, :B3
s, r, g, p, n      = :C4, :D4, :E4, :G4, :B4
s2, r2, g2, p2, n2 = :C5, :D5, :E5, :G5, :B5


define :maya do
  sleep 3
  play_pattern_timed [s, s, r, s, r, s, r, r], 0.75, release: 3
  sleep 3
  play_pattern_timed [s, r, g, s, r, s, r, r], 0.75, release: 3

jargnar

package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"

	"github.com/AndreasBriese/bbloom"
)