kevinmartinjos

import numpy as np

def iterate(alpha, n, P, pi):
    e = np.array([[1], [1], [1], [1], [1], [1]])

    return (alpha * e)/n + (1-alpha) * np.matmul(np.transpose(P), pi)

if __name__ == "__main__":
    P = np.array([
        [0, 0.5, 0, 0.5, 0, 0],

kevinmartinjos

function! LoadTerminal()
    let bnr = bufnr('!/bin/bash')
    if bnr > 0 
        :sbuffer !/bin/bash
    else
        :term
    endif
endfunction

kevinmartinjos

kevinmartinjos

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from datasets import load_dataset
import numpy as np
from typing import Dict, Any
from torch.optim import Optimizer