NaxAlpha

import copy

import torch
import torch.nn.functional as F
import torch.backends.cuda as cuda
from torch.utils.data import DataLoader, IterableDataset

import wandb
from tqdm import tqdm
import bitsandbytes as bnb

Christopher-Hayes

Converting DreamBooth .bin files to a .ckpt model file.

These instructions are based on DreamBooth usage with the https://github.com/ShivamShrirao/diffusers repo.

1. Add the script files

Below are 2 files. "convertToCkpt.py" and "toCkpt.sh". Create those files inside the examples/dreambooth folder with the code provided.

1a. Python convert script (required)

FarisHijazi

"""
VoiceFixer

$ python voicefixer_cli.py -i ~/Downloads/download.mp3

# for running on multiple files
$ find path/to/folder -name "*.wav"  -not -name "*denoised*" |xargs -P 20 -I{} sh -c 'python voicefixer_cli.py -i {}'

"""
"""

FarisHijazi

#!/bin/bash

# https://gist.github.com/FarisHijazi/4ba8d9768eddc6f218ecd21824c24909

#TODO: fix directory naming, name it something related to the file

# argparsing from: https://stackoverflow.com/a/39376824/7771202
# usage function
function usage()
{

ma7dev

To run access a remote jupyter notebook, you will need to do the following:

1. Setting ssh config file (~/.ssh/config):

Host FLIP # access point server
    HostName access.engr.oregonstate.edu
    User ONIDusername
Host DGX # target server
    HostName submit-b.hpc.engr.oregonstate.edu
    User ONIDusername

ma7dev

A simple example for Streamlit and Flask project

• server.py contains the API code for the Flask server (back-end)
• main.py contains the streamlit code (front-end)

Requirements

pip install plotly streamlit pandas requests flask

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

bijij

// ==UserScript==
// @name            View Image
// @namespace       https://github.com/bijij/ViewImage
// @version         4.1.1
// @description     This userscript re-implements the "View Image" and "Search by image" buttons into google images.
// @author          Joshua B
// @run-at          document-end
// @include         http*://*.google.tld/search*tbm=isch*
// @include         http*://*.google.tld/imgres*
// @updateURL       https://gist.githubusercontent.com/bijij/58cc8cfc859331e4cf80210528a7b255/raw/viewimage.user.js

andres-erbsen

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import random

def itershuffle(iterable,bufsize=1000):
    """Shuffle an iterator. This works by holding `bufsize` items back
    and yielding them sometime later. This is NOT 100% random, proved or anything."""
    iterable = iter(iterable)
    buf = []