venkata vishal kajjam vishal-kvn

Coldsp33d / iter_vs_vec_benchmark.py

Last active November 8, 2024 13:59

Comparing iteration and vectorisation with a simple example

	import perfplot
	import pandas as pd

	def vec(df):
	return df['A'] + df['B']

	def vec_numpy(df):
	return df['A'].to_numpy() + df['B'].to_numpy()

	def list_comp(df):

HarshTrivedi / pad_packed_demo.py

Last active November 7, 2025 15:47 — forked from Tushar-N/pad_packed_demo.py

Minimal tutorial on packing (pack_padded_sequence) and unpacking (pad_packed_sequence) sequences in pytorch.

	import torch
	from torch import LongTensor
	from torch.nn import Embedding, LSTM
	from torch.autograd import Variable
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
	#
	# Step 1: Construct Vocabulary
	# Step 2: Load indexed data (list of instances, where each instance is list of character indices)

karpathy / min-char-rnn.py

Last active March 5, 2026 03:44

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)