rogerallen

# Python Dictionary to translate Countries to Two-Letter codes and vice versa.
#
# https://gist.github.com/rogerallen/1583606
#
# Dedicated to the public domain.  To the extent possible under law,
# Roger Allen has waived all copyright and related or neighboring
# rights to this code.  Data originally from Wikipedia at the url:
# https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2
#
# Automatically Generated 2024-10-08 07:45:05 via Jupyter Notebook from

karpathy

"""
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)

jkleint

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

alimanfoo

import numpy as np


def find_runs(x):
    """Find runs of consecutive items in an array."""

    # ensure array
    x = np.asanyarray(x)
    if x.ndim != 1:
        raise ValueError('only 1D array supported')

bfarzin

rwightman

""" A simple U-Net w/ timm backbone encoder

Based off an old version of Unet in https://github.com/qubvel/segmentation_models.pytorch

Hacked together by Ross Wightman
"""

from typing import Optional, List

import torch