jacobeisenstein

Narsil

import mmap
import torch
import json
import os
from huggingface_hub import hf_hub_download


def load_file(filename, device):
    with open(filename, mode="r", encoding="utf8") as file_obj:
        with mmap.mmap(file_obj.fileno(), length=0, access=mmap.ACCESS_READ) as m:

vadimkantorov

# CTC vanilla and CTC via crossentropy are equal, and their gradients as well. In this reformulation it's easier to experiment with modifications of CTC.
# References on CTC regularization:
#  "A Novel Re-weighting Method for Connectionist Temporal Classification", Li et al, https://arxiv.org/abs/1904.10619
#  "Focal CTC Loss for Chinese Optical Character Recognition on Unbalanced Datasets", Feng et al, https://www.hindawi.com/journals/complexity/2019/9345861/
#  "Improved training for online end-to-end speech recognition systems", Kim et al, https://arxiv.org/abs/1711.02212

import torch
import torch.nn.functional as F

## generate example data

Ezka77

#EXTM3U
#EXTINF:0,France Culture - direct
http://direct.franceculture.fr/live/franceculture-midfi.mp3
#EXTINF:0,France Inter
http://icecast.radiofrance.fr/franceinter-hifi.aac?id=radiofrance
#EXTINF:0,France Musique
http://direct.francemusique.fr/live/francemusique-midfi.mp3
#EXTINF:0,France Info
https://stream.radiofrance.fr/franceinfo/franceinfo_hifi.m3u8
#EXTINF:0,France Culture - alternative link

markusfisch

Handy Android shortcuts

This little script eases building, running, testing and analyzing Android apps with [ant][2] and [adb][1].

You may also see it as interactive dictionary of useful [adb commands][1].

How to use