omri374

import re
from typing import List

import spacy
from spacy.tokens import Doc
from tqdm import tqdm


class SpacyPreprocessor:
    def __init__(

MaggieAppleton

h1,
h2,
h3,
h4,
h5,
h6 {
    font-family: "TT Commons", sans-serif;
    font-size: 3em;
}
div,

pierrelux

import numpy as onp
from scipy.signal import lfilter

import jax
import jax.numpy as jnp

def discount_lfilter(rewards, discount):
  return lfilter(b=[1], a=[1, -discount], x=rewards[::-1])[::-1]

def discount_correlate(rewards, discount):

petsto

List of some top fonts for easy terminal install via Homebrew Fonts Cask.

brew install font-open-sans &&
brew install font-noto-sans &&
brew install font-roboto && brew install font-roboto-mono && brew install font-roboto-slab
brew install font-montserrat &&
brew install font-lato &&
brew install font-fira-code &&
brew install font-source-code-pro &&

pierrelux

import autograd.numpy as np
from scipy.signal import lfilter
from autograd.extend import primitive, defvjp

@primitive
def accumulate_discounted(rewards, discount=1.):
    """Behaves like `accumulate` but where each array element gets discounted.
    Args:
      rewards (np.ndarray): 1D array of rewards
      discount (float): Scalar discount factor

pierrelux

import jax
import jax.numpy as np
from jax import grad, jit
from jax.scipy.special import logsumexp


def dadashi_fig2d():
    """ Figure 2 d) of
    ''The Value Function Polytope in Reinforcement Learning''
    by Dadashi et al. (2019) https://arxiv.org/abs/1901.11524

SkafteNicki

import torch
from torch import distributions as D
from torch.nn import functional as F


class MixtureSameFamily(D.Distribution):
    """ Mixture (same-family) distribution.

    The `MixtureSameFamily` distribution implements a (batch of) mixture
    distribution where all components are from different parameterizations of

victorbruce

Firebase

Set up firebase and Deploy

• Head over to firebase. Sign in and create a project.

• Copy your project settings under Firebase SDK snippet into your local project (ie your project's api key, auth domain, databaseURL, etc)

• Create a file (firebase.js or config.js Any name that suits you is fine)

jesseengel

from cStringIO import StringIO
import os

import numpy as np
import scipy.io.wavfile
import tensorflow as tf

output_path = os.path.expanduser('~/Desktop/test.tfrecord')
sample_path = os.path.expanduser('~/Desktop/test.wav')

mdouze

import numpy as np
import faiss



def search_knn(xq, xb, k, distance_type=faiss.METRIC_L2): 
    """ wrapper around the faiss knn functions without index """
    nq, d = xq.shape
    nb, d2 = xb.shape
    assert d == d2