Dror Hilman PhD drorhilman

Head of research - BlueCircle.ai

jorgeluisrmx / Jupyter notebooks in pipenv

Last active July 10, 2021 12:43

	pipenv install jupyter # install jupyter notebook
	(venv)$ jupyter notebook # run jupyter notebook server

	# EXTENSIONS

	# Reveal.js - Jupyter/IPython Slideshow Extension (https://rise.readthedocs.io/en/maint-5.5/)
	pipenv install RISE

	# Hide code
	pipenv install hide_code

seanjtaylor / Sqlite Data Frame.ipynb

Created November 19, 2018 00:07

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jeremyjordan / sgdr.py

Last active December 4, 2023 13:41

Keras Callback for implementing Stochastic Gradient Descent with Restarts

	from keras.callbacks import Callback
	import keras.backend as K
	import numpy as np

	class SGDRScheduler(Callback):
	'''Cosine annealing learning rate scheduler with periodic restarts.

	# Usage
	```python
	schedule = SGDRScheduler(min_lr=1e-5,

jfsantos / example_hdf5matrix.py

Last active May 11, 2020 06:57

	from keras.models import Sequential
	from keras.layers import Dense
	from keras.utils.io_utils import HDF5Matrix
	import numpy as np

	def create_dataset():
	import h5py
	X = np.random.randn(200,10).astype('float32')
	y = np.random.randint(0, 2, size=(200,1))
	f = h5py.File('test.h5', 'w')

spalladino / mysql-docker.sh

Created December 22, 2015 13:47

Backup and restore a mysql database from a running Docker mysql container

	# Backup
	docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

	# Restore
	cat backup.sql \| docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

joyrexus / README.md

Last active September 16, 2024 18:48 — forked from liamcurry/gist:2597326

Vanilla JS equivalents of jQuery methods

Sans jQuery

// jQuery
$(document).ready(function() {
  // code
})

mblondel / kmeans.py

Last active April 21, 2024 13:41

Fuzzy K-means and K-medians

	# Copyright Mathieu Blondel December 2011
	# License: BSD 3 clause

	import numpy as np
	import pylab as pl

	from sklearn.base import BaseEstimator
	from sklearn.utils import check_random_state
	from sklearn.cluster import MiniBatchKMeans
	from sklearn.cluster import KMeans as KMeansGood