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import argparse
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.utils.data import DataLoader
import torchvision
import torchvision.transforms as T
from torchvision.datasets import ImageFolder
@arunmallya
arunmallya / rf.ipynb
Last active March 30, 2023 09:29
A Jupyter notebook to get the receptive field and effective stride of layers in a CNN. Supports dilated convolutions as well.
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@karpathy
karpathy / min-char-rnn.py
Last active November 16, 2024 23:10
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)
@karpathy
karpathy / gist:587454dc0146a6ae21fc
Last active July 11, 2024 10:36
An efficient, batched LSTM.
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):