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# Source: https://github.com/rapidsai/cuml

import cudf
from cuml.cluster import DBSCAN

# Create and populate a GPU DataFrame
gdf_float = cudf.DataFrame()
gdf_float['0'] = [1.0, 2.0, 5.0]
gdf_float['1'] = [4.0, 2.0, 1.0]
gdf_float['2'] = [4.0, 2.0, 1.0]

marcelovca90

LightGBM CUDA on WSL (2024)

Tutorial put together by Marcelo Vinícius Cysneiros Aragão (Inatel)

---

Prerequisites

• Install latest Windows Updates
• Install Microsoft Visual C++ Redistributables
• Install NVIDIA GPU drivers
• Install WSL2

marcelovca90

TensorFlow GPU + JupyterLab with Docker (2024)

Tutorial put together by Marcelo Vinícius Cysneiros Aragão (Inatel)

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Step 1 (WSL ONLY): Set up a WSL Virtual Machine

Prerequisites

• Install latest Windows Updates
• Install Microsoft Visual C++ Redistributables

marcelovca90

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sklearn.metrics.pairwise_distances
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html

Start:
[[3,9,10,1],[8,12,13,7],[2,11,14,5],[15,4,6,0]]

Goal:
[[0,1,2,3],[4,5,6,7],[8,9,10,11],[12,13,14,15]]

marcelovca90

#include <iostream>
#include <cstring>

using namespace std;

int main ()
{
    struct regpag
    {
        char nome[100];

marcelovca90

#include <iostream>

using namespace std;

int main ()
{
    struct regpag
    {
        char nome[100];
        char cpf[15];

marcelovca90

#include <iostream>
#include <iomanip>

#define N_MESES 12
#define N_SEMANAS 4

using namespace std;

int main()
{

marcelovca90

#include <iostream>

using namespace std;

int main()
{
    int id;
    char nome[100];
    char sexo;
    int idade;

marcelovca90

#include <iostream>

using namespace std;

int main()
{
    int n;
    cout << "Digite a quantidade de pilotos: ";
    cin >> n;