nhu2000’s gists

nhu2000 / monte_carlo_tree_search.py

Created April 28, 2020 23:31 — forked from qpwo/monte_carlo_tree_search.py

Monte Carlo tree search (MCTS) minimal implementation in Python 3, with a tic-tac-toe example gameplay

	"""
	A minimal implementation of Monte Carlo tree search (MCTS) in Python 3
	Luke Harold Miles, July 2019, Public Domain Dedication
	See also https://en.wikipedia.org/wiki/Monte_Carlo_tree_search
	https://gist.github.com/qpwo/c538c6f73727e254fdc7fab81024f6e1
	"""
	from abc import ABC, abstractmethod
	from collections import defaultdict
	import math

nhu2000 / README.md

Created March 5, 2018 08:39 — forked from GilLevi/README.md

Age and Gender Classification using Convolutional Neural Networks

caffemodel: age_net.caffemodel

nhu2000 / generate_questions.py

Created May 5, 2017 16:35 — forked from surmenok/generate_questions.py

	# Copyright 2014 Google Inc. All Rights Reserved.

	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at

	# http://www.apache.org/licenses/LICENSE-2.0

	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,

nhu2000 / Chinese Stop Words

Created March 31, 2017 01:27 — forked from dreampuf/Chinese Stop Words

Chinese Stop Words

nhu2000 / marisa_count_vectorizer.py

Created December 30, 2015 01:06 — forked from kmike/marisa_count_vectorizer.py

	import numpy as np
	import marisa_trie
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.externals import six

	class MarisaCountVectorizer(CountVectorizer):

	# ``CountVectorizer.fit`` method calls ``fit_transform`` so
	# ``fit`` is not provided
	def fit_transform(self, raw_documents, y=None):