billhhh

Install VMWare Workstation PRO 17 (Read it right. PRO!)
Also, these keys might also work with VMWare Fusion 13 PRO. Just tested it.

Sub to me on youtube pls - PurpleVibe32
if you want more keys - call my bot on telegram. @purector_bot (THE BOT WONT REPLY ANYMORE) - Or: https://cdn.discordapp.com/attachments/1040615179894935645/1074016373228978277/keys.zip - the password in the zip is 102me.
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This gist can get off at any time.
PLEASE, DONT COPY THIS. IF YOU FORK IT, DONT EDIT IT.
*If you have a problem comment and people will try to help you!
*No virus

billhhh

I've used this in the past to grab offline copies of some of the Google API docs.

$ wget --no-parent --recursive --page-requisites --html-extension --convert-links "http://code.google.com/apis/gears/"

# --no-parent - Don't fetch anything in the parent directory of the URL specified
# --page-requisites - Download everything required for the page to display correctly
# --recursive - Recursively download (use default depth of 5)
# --html-extension - Add .html to downloaded html files (this isn't necessarily required for the google code example but might be useful on other sites)

--convert-links - Update links in the downloaded document to point to, either the downloaded copy of a file or a full URL

ishad0w

deb http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-backports main restricted universe multiverse

berkorbay

IMPORTANT

See the following links for further updates to Github Desktop for Ubuntu. These are official instructions. (also mentioned by fetwar on Nov 3, 2023)

• How to Install
• Latest Releases

For the sake of "maintaining the tradition" here is the updated version.

tonyreina

import nibabel as nib
import numpy as np

data = np.ones((32, 32, 15, 100), dtype=np.int16) # dummy data in numpy matrix
img = nib.Nifti1Image(data, np.eye(4))  # Save axis for data (just identity)

img.header.get_xyzt_units()
img.to_filename(os.path.join('build','test4d.nii.gz'))  # Save as NiBabel file

ronghanghu

yunjey

def contextual_loss(x, y, h=0.5):
    """Computes contextual loss between x and y.
    
    Args:
      x: features of shape (N, C, H, W).
      y: features of shape (N, C, H, W).
      
    Returns:
      cx_loss = contextual loss between x and y (Eq (1) in the paper)
    """

kylemcdonald

# tested on AWS p2.xlarge August 29, 2018

# install CUDA
sudo apt-get update && sudo apt-get install wget -y --no-install-recommends
CUDA_URL="https://developer.nvidia.com/compute/cuda/9.2/Prod2/local_installers/cuda-repo-ubuntu1604-9-2-local_9.2.148-1_amd64"
wget -c ${CUDA_URL} -O cuda.deb
sudo dpkg --install cuda.deb
sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install -y cuda

mick001

# Imports
from sklearn.datasets import fetch_olivetti_faces
import numpy as np

# Download Olivetti faces dataset
olivetti = fetch_olivetti_faces()
x = olivetti.images
y = olivetti.target

# Print info on shapes and reshape where necessary

snakers4

import torch
import torch.nn as nn
import torch.nn.functional as F

# Focal loss implementation inspired by
# https://github.com/c0nn3r/RetinaNet/blob/master/focal_loss.py
# https://github.com/doiken23/pytorch_toolbox/blob/master/focalloss2d.py
class MultiClassBCELoss(nn.Module):
    def __init__(self,
                 use_weight_mask=False,