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@ryangomba
ryangomba / optics.py
Last active November 29, 2025 23:47
OPTICS clustering in Python
# Copyright (c) 2012, Ryan Gomba
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
@lukovkin
lukovkin / multi-ts-lstm.py
Last active November 25, 2022 16:23
Time series prediction with multiple sequences input - LSTM - 1
# Time Series Testing
import keras.callbacks
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dense, Dropout
from keras.layers.recurrent import LSTM
# Call back to capture losses
class LossHistory(keras.callbacks.Callback):
def on_train_begin(self, logs={}):
self.losses = []
@udibr
udibr / gruln.py
Last active November 7, 2020 02:34
Keras GRU with Layer Normalization
import numpy as np
from keras.layers import GRU, initializations, K
from collections import OrderedDict
class GRULN(GRU):
'''Gated Recurrent Unit with Layer Normalization
Current impelemtation only works with consume_less = 'gpu' which is already
set.
# Arguments
@5agado
5agado / Pandas and Seaborn.ipynb
Created February 20, 2017 13:33
Data Manipulation and Visualization with Pandas and Seaborn — A Practical Introduction
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@martinwicke
martinwicke / automobile.ipynb
Last active January 9, 2022 08:14
Estimator demo using Automobile dataset
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@afriza
afriza / install-ffmpeg-with-decklink-support-ubuntu-18.04-server.md
Last active February 18, 2026 22:21
Compiling and installing `ffmpeg` with Decklink SDK on Ubuntu 18.04 Server. Check out forks of this gist for more up-to-date info.