Faris Alasmary farisalasmary

farisalasmary / msi-gtx1060-ubuntu-18.04-deeplearning.md

Created March 5, 2023 09:46 — forked from hereismari/msi-gtx1060-ubuntu-18.04-deeplearning.md

Setting up a MSI laptop with GPU (gtx1060), Installing Ubuntu 18.04, CUDA, CDNN, Pytorch and TensorFlow

Setting up a MSI laptop with GPU (gtx1060)

farisalasmary / pytorch_lightning_simplest_example.py

Created February 20, 2023 12:50 — forked from rain1024/pytorch_lightning_simplest_example.py

Simplest Pytorch Lightning Example

	import pytorch_lightning as pl
	import numpy as np
	import torch
	from torch.nn import MSELoss
	from torch.optim import Adam
	from torch.utils.data import DataLoader, Dataset
	import torch.nn as nn


	class SimpleDataset(Dataset):

farisalasmary / bytes_to_wav.py

Created January 1, 2023 10:35 — forked from hadware/bytes_to_wav.py

Convert wav in bytes for to numpy ndarray, then back to bytes

	from scipy.io.wavfile import read, write
	import io

	## This may look a bit intricate/useless, considering the fact that scipy's read() and write() function already return a
	## numpy ndarray, but the BytesIO "hack" may be useful in case you get the wav not through a file, but trough some websocket or
	## HTTP Post request. This should obviously work with any other sound format, as long as you have the proper decoding function

	with open("input_wav.wav", "rb") as wavfile:
	input_wav = wavfile.read()

farisalasmary / tqdm_threadpool.py

Created October 31, 2021 14:07 — forked from timothymugayi/tqdm_threadpool.py

How to run tqdm in multiple threads

	import time

	from random import randrange
	from multiprocessing.pool import ThreadPool

	from tqdm import tqdm


	def func_call(position, total):
	text = 'progressbar #{position}'.format(position=position)

farisalasmary / train.py

Created March 28, 2020 07:35

DeepSpeech2.pytorch Train.py

	import argparse
	import json
	import os
	import random
	import time

	import numpy as np
	import torch.distributed as dist
	import torch.utils.data.distributed
	from apex import amp