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# wordvec_example.py
#
# This file shows one way to work with word2vec data in Python.
#
# Setup:
#
# 1. Install gensim:
#
#     pip install gensim
#

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# wordvec_example.py
#
# This file shows one way to work with word2vec data in Python.
#
# Setup:
#
# 1. Install gensim:
#
#     pip install gensim
#

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from torch.optim import Optimizer

class AdamW(Optimizer):
    """
       Implements Adam algorithm with weight decay fix in PyTorch
       Paper: Fixing Weight Decay Regularization in Adam by Ilya Loshchilov, Frank Hutter
       https://arxiv.org/abs/1711.05101
    """
    def __init__(self, params, lr, b1=0.9, b2=0.999, e=1e-8, l2=0,
                 vector_l2=False, max_grad_norm=-1, **kwargs):

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// Unfollow everyone on twitter.com, by Jamie Mason (https://twitter.com/fold_left)
// https://gist.github.com/JamieMason/7580315
//
// 1. Go to https://twitter.com/YOUR_USER_NAME/following
// 2. Open the Developer Console. (COMMAND+ALT+I on Mac)
// 3. Paste this into the Developer Console and run it
//
// Last Updated: 09 April 2020
(() => {
  const $followButtons = '[data-testid$="-unfollow"]';