Archelunch

user_id;user_query
381;I'm looking for recommendations for dramas, comedies, or adventure films. I'm a big fan of Steven Spielberg and prefer movies made in 1995 or later. I enjoyed Hard Candy and Memento, but I'm not a fan of films like An American Haunting.
141;Can you suggest some comedy, adventure, or drama movies? I really like works by Quentin Tarantino and Pete Docter, and I prefer films made after 1994. Gattaca and The Grand Budapest Hotel are some of my favorites, but I didn't care for 300 or American Psycho.
255;I'm looking for war and action movies made after 1978. I'm a fan of comedies like Animal House and Ace Ventura, but I didn't enjoy Little Big Man. What do you recommend?
424;I'm in the mood for a drama, thriller, or crime film. I especially enjoy movies by Quentin Tarantino and Martin Scorsese from 1994 onwards. I liked American History X, but I'm not a fan of movies like Nutty Professor II: The Klumps.
403;I'd love some recommendations for dramas and thrillers, especially from Quentin Taran

Archelunch

user_id;persona_prompt;user_query;liked_titles_holdout;disliked_titles_sample
381;"I enjoy Drama, Comedy, Adventure; Steven Spielberg; prefer years >= 1995.0. Some favorites: Hard Candy (2005), Memento (2000), Hook (1991); avoid films like American Haunting, An (2005), Wicker Man, The (2006). Recommend 5 movies I might love with one-line reasons.";Recommend 5 movies matching my taste. Prefer Drama, Comedy, Adventure, especially by Steven Spielberg, from >= 1995.0. One-line reasons.;"[""Fantasia (1940)"", ""Inside Man (2006)"", ""Monsters, Inc. (2001)"", ""Princess Mononoke (Mononoke-hime) (1997)"", ""Hotel Rwanda (2004)""]";"[""American Haunting, An (2005)"", ""Wicker Man, The (2006)"", ""Hitchhiker's Guide to the Galaxy, The (2005)""]"
141;"I enjoy Comedy, Adventure, Drama; Quentin Tarantino, Pete Docter; prefer years >= 1994.0. Some favorites: Gattaca (1997), Grand Budapest Hotel, The (2014), Lord of the Rings: The Fellowship of the Ring, The (2001); avoid films like 300 (2007), American Psycho (2000). Reco

Archelunch

shader_type spatial;

#define R(p,a,r)mix(a*dot(p,a),p,cos(r))+sin(r)*cross(p,a)
#define H(h)(cos((h)*6.3+vec3(0,23,21))*.5+.5)

uniform vec3 iResolution;
uniform float modifier: hint_range(0.0, 1.0) = 0.001;
void fragment()
{
    vec4 O=vec4(0);

Archelunch

    def validation_step(self, batch, batch_nb):
        padded_mixture, mixture_lengths, padded_source = \
            batch['audio_input'], batch['lengths'], batch['audio_targets']

        estimate_source = self.forward(padded_mixture)
        
        if not self.is_sampled:
            self.flat_estimate = remove_pad(estimate_source, mixture_lengths)[:5]
            self.mixture = remove_pad(padded_mixture, mixture_lengths)[:5]
            self.is_sampled = True

Archelunch

from collections import namedtuple
import random
import torch

def get_grid_locations(image_height, image_width, device):
    y_range = torch.linspace(0, image_height - 1, image_height, device=device)
    x_range = torch.linspace(0, image_width - 1, image_width, device=device)
    y_grid, x_grid = torch.meshgrid(y_range, x_range)
    return torch.stack((y_grid, x_grid), -1)

Archelunch

import tensorflow as tf
from text import symbols


def create_hparams(hparams_string=None, verbose=False):
    """Create model hyperparameters. Parse nondefault from given string."""

    hparams = tf.contrib.training.HParams(
        ################################
        # Experiment Parameters        #

Archelunch

import numpy as np
import librosa
import torch


def get_mask_from_lengths(lengths):
    max_len = torch.max(lengths).item()
    ids = torch.arange(0, max_len, out=torch.cuda.LongTensor(max_len))
    mask = (ids < lengths.unsqueeze(1)).byte()
    return mask

Archelunch

# *****************************************************************************
#  Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
#
#  Redistribution and use in source and binary forms, with or without
#  modification, are permitted provided that the following conditions are met:
#      * Redistributions of source code must retain the above copyright
#        notice, this list of conditions and the following disclaimer.
#      * Redistributions in binary form must reproduce the above copyright
#        notice, this list of conditions and the following disclaimer in the
#        documentation and/or other materials provided with the distribution.