datlife

"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf   # only work from tensorflow==1.9.0-rc1 and after
 
_EPOCHS      = 5
_NUM_CLASSES = 10
_BATCH_SIZE  = 128

def training_pipeline():
  # #############
  # Load Dataset

mrry

# Copyright 2015 The TensorFlow Authors. 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,

anbrjohn

#!/usr/bin/env python3

"""
Created by @author: craffel
Modified on Sun Jan 15, 2017 by anbrjohn

Modifications: 
    -Changed xrange to range for python 3
    -Added functionality to annotate nodes
"""    

TangChr

[core]
	editor = "code --wait"

[diff]
	tool = default-difftool

[difftool "default-difftool"]
	cmd = "code --wait --diff $LOCAL $REMOTE"

[merge]

offchan42

Game Development

Unity Tutorials

Official

• http://unity3d.com/learn/tutorials
• http://docs.unity3d.com/Manual/index.html
• http://docs.unity3d.com/ScriptReference/index.html
• https://www.youtube.com/c/unity

Non-Official

• http://www.gamesparks.com/blog/unity-game-engine-review/

offchan42

ATTENTION PLEASE

This gist has been moved to https://github.com/offchan42/machine-learning-curriculum

Please see that repository instead because you can make pull requests there and later updates will be pushed there too.

===

Machine Learning Curriculum

stefanthoss

import pandas as pd
import pymysql
from sqlalchemy import create_engine

engine = create_engine("mysql+pymysql://USER:PASSWORD@HOST:PORT/DBNAME")

df = pd.read_sql_query("SELECT * FROM table", engine)
df.head()

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

craffel

import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
    

dpryden

import java.io.IOException;
import java.net.URLClassLoader;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.Path;

/**
 * Example demonstrating a ClassLoader leak.
 *
 * <p>To see it in action, copy this file to a temp directory somewhere,