Samitha Jayaweera samithaj

linkedin.com/in/samithaj

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samithaj / mem-ts-RNN.py

Created June 16, 2018 17:36 — forked from lukovkin/mem-ts-RNN.py

Memory-efficient training of RNNs (modified example) - see https://groups.google.com/forum/#!topic/keras-users/vnGMtKPu1Xc for the discussion

	# Code for Jupyter/IPython Notebook environment

	from keras.models import Sequential
	from keras.layers.core import TimeDistributedDense, Activation, Dropout
	from keras.layers.recurrent import GRU
	import numpy as np
	from keras.utils.layer_utils import print_layer_shapes

	%matplotlib inline
	import matplotlib.pyplot as plt

samithaj / hyperband.py

Created November 26, 2019 11:48 — forked from PetrochukM/hyperband.py

Here we implement hyperband and successive halving adaptions. We found that the original hyperband implementation was messy and not tested. We also wanted to adapt it to include model reuse.

	"""
	We implement additional hyperparameter optimization methods not present in
	https://scikit-optimize.github.io/.

	Gist: https://gist.github.com/Deepblue129/2c5fae9daf0529ed589018c6353c9f7b
	"""

	import math
	import logging
	import random

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