Jacob Kimmel jacobkimmel

Head of Research, @NewLimit | previously Principal Investigator @calico, PhD @UCSF | Interested in aging, genomics, machine learning

jacobkimmel / forest_lab_kidney_preservation_comparison.ipynb

Created June 2, 2023 21:30

forest_lab_kidney_preservation_comparison.ipynb

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jacobkimmel / load_dense_as_sparse.py

Created August 9, 2021 17:42

Load dense count arrays as `scipy.sparse` matrices

	import gzip
	import scipy.sparse as sp
	import numpy as np


	def load_dense_csv_as_sparse_matrix(
	file_name: str,
	dtype=np.int32,
	skip_lines: int=0,
	batch_size: int=2048,

jacobkimmel / make_one_hot.py

Last active May 15, 2021 04:02

Generate one hot labels from integer labels in PyTorch

	def make_one_hot(labels, C=2):
	'''
	Converts an integer label torch.autograd.Variable to a one-hot Variable.

	Parameters
	----------
	labels : torch.autograd.Variable of torch.cuda.LongTensor
	N x 1 x H x W, where N is batch size.
	Each value is an integer representing correct classification.
	C : integer.