pkubik

from dash import Dash, Patch, dcc, html, Input, Output, callback
import plotly.express as px
import numpy as np
import torch
import torchvision

app = Dash(__name__)


def load_image(image_path):

pkubik

pkubik

from nicegui import events, ui


def mouse_handler(e: events.MouseEventArguments):
    color = "SkyBlue" if e.type == "mousedown" else "SteelBlue"
    ii.content += f'<circle cx="{e.image_x}" cy="{e.image_y}" r="15" fill="none" stroke="{color}" stroke-width="4" />'
    ui.notify(f"{e.type} at ({e.image_x:.1f}, {e.image_y:.1f})")


src = "https://picsum.photos/id/565/640/360"

pkubik

import numpy as np
from pathlib import Path


names = [
    str(p).replace("/", "-").replace("\\", "-").replace("C:-", "").lower().strip("-")
    for p in Path("/mnt/c/Windows").glob("*/*")
    if len(str(p)) < 40
]

pkubik

# setup FIFO and hang python interpreter
fifo_path=$TMPDIR/"pysh-"$(date +%s)
mkfifo $fifo_path
python3 <$fifo_path &
exec 3>$fifo_path

# perform some commands
echo 'import os' >$fifo_path
cat >$fifo_path <<EOF
import json

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Nice custom name

run_name = f"{tag_name}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S-%f')}"

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Entrypoint for docker with host dir mountpoint

The idea is to use this along with -v $PWD:/app option.

Whenever you use this workflow all files created in your working directory will be created by the docker user (e.g. root) requiring you to use sudo for clean-up...

... random sudo rm -rf something is just what you need in your life.

pkubik

Legend:

• orange: no decay
• pink: wd=1e-4
• cyan: wd=1e-5

pkubik

GFlowNets

Base paper: https://arxiv.org/abs/2106.04399

Extension: https://arxiv.org/pdf/2111.09266.pdf

Tutorial: https://milayb.notion.site/The-GFlowNet-Tutorial-95434ef0e2d94c24aab90e69b30be9b3

Lecture: https://www.youtube.com/watch?v=ZncOp1Dvw9o

pkubik

from __future__ import annotations
from flask import Flask
from flask import request
from flask import abort

from multiprocessing import Process
import subprocess as sp
import sys
import os
import json