dvgodoy

## Gist originally developed by @craffel and improved by @ljhuang2017

import matplotlib.pyplot as plt
import numpy as np

def draw_neural_net(ax, left, right, bottom, top, layer_sizes, coefs_, intercepts_, n_iter_, loss_):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:

silgon

# code to solve https://stackoverflow.com/q/47932589/2237916
import numpy as np
import tflearn
from random import shuffle

# parameters
n_input=100
n_train=2000
n_test = 500
# generate data

spro

import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
from torch import optim
import numpy as np
import math, random

# Generating a noisy multi-sin wave 

siemanko

"""Short and sweet LSTM implementation in Tensorflow.

Motivation:
When Tensorflow was released, adding RNNs was a bit of a hack - it required
building separate graphs for every number of timesteps and was a bit obscure
to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
Currently the APIs are decent, but all the tutorials that I am aware of are not
making the best use of the new APIs.

Advantages of this implementation:

mbollmann

class AttentionLSTM(LSTM):
    """LSTM with attention mechanism

    This is an LSTM incorporating an attention mechanism into its hidden states.
    Currently, the context vector calculated from the attended vector is fed
    into the model's internal states, closely following the model by Xu et al.
    (2016, Sec. 3.1.2), using a soft attention model following
    Bahdanau et al. (2014).

    The layer expects two inputs instead of the usual one:

jakevdp

tgarc

ipython nbconvert --to markdown <notebook>.ipynb --config jekyll.py

mblondel

"""
NMF by coordinate descent, designed for sparse data (without missing values)
"""

# Author: Mathieu Blondel <mathieu@mblondel.org>
# License: BSD 3 clause

import numpy as np
import scipy.sparse as sp
import numba

CrookedNumber

Removing the last commit

To remove the last commit from git, you can simply run git reset --hard HEAD^ If you are removing multiple commits from the top, you can run git reset --hard HEAD~2 to remove the last two commits. You can increase the number to remove even more commits.

If you want to "uncommit" the commits, but keep the changes around for reworking, remove the "--hard": git reset HEAD^ which will evict the commits from the branch and from the index, but leave the working tree around.

If you want to save the commits on a new branch name, then run git branch newbranchname before doing the git reset.

panisson

#  Copyright (C) 2013 Istituto per l'Interscambio Scientifico I.S.I.
#  You can contact us by email (isi@isi.it) or write to:
#  ISI Foundation, Via Alassio 11/c, 10126 Torino, Italy.
#
#  This work is licensed under a Creative Commons 4.0
#  Attribution-NonCommercial-ShareAlike License
#  You may obtain a copy of the License at
#  http://creativecommons.org/licenses/by-nc-sa/4.0/
#
#  This program was written by Andre Panisson <panisson@gmail.com> at