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anguillanneuf / main.cpp
Last active December 8, 2020 22:13
Use Pub/Sub with Kalman Filters
#include "FusionEKF.h"
#include "google/cloud/pubsub/subscriber.h"
#include "tools.h"
namespace pubsub = google::cloud::pubsub;
int main(int argc, char* argv[]) try {
if (argc != 3) {
std::cerr << "Usage: " << argv[0]
@anguillanneuf
anguillanneuf / min-char-rnn.py
Created November 22, 2016 13:55 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)