araffin

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from gymnasium import spaces
from stable_baselines3 import PPO
from stable_baselines3.common.env_util import make_vec_env
from stable_baselines3.common.vec_env import VecEnvWrapper

sns.set_theme()

karpathy

# -----------------------------------------------------------------------------
# AI-powered Git Commit Function
# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
# 1) gets the current staged changed diff
# 2) sends them to an LLM to write the git commit message
# 3) allows you to easily accept, edit, regenerate, cancel
# But - just read and edit the code however you like
# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/

gcm() {

jeremystretch

I've needed to do this several times to combat "ghost" notifications. These occur when a discussion is created and then deleted (e.g. for spam) before the notofication is read. You may see something like "1-0 of 4" at the bottom of the notifications page.

You can use the GitHub API client to show these notifications:

gh api notifications

To mark all notifications as read, send the API request below with curl. (Update the last_read date as needed.)

araffin

# MIT License Copyright (c) 2024 Antonin Raffin
import gymnasium as gym
import numpy as np
from gymnasium.envs.mujoco.mujoco_env import MujocoEnv

# Env initialization
env = gym.make("HalfCheetah-v4", render_mode="human")
# Wrap to have reward statistics
env = gym.wrappers.RecordEpisodeStatistics(env)
mujoco_env = env.unwrapped

araffin

import gymnasium as gym
import numpy as np
from gymnasium.envs.mujoco.mujoco_env import MujocoEnv

# Env initialization
env = gym.make("Swimmer-v4", render_mode="human")
# Wrap to have reward statistics
env = gym.wrappers.RecordEpisodeStatistics(env)
mujoco_env = env.unwrapped
n_joints = 2

nmwsharp

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh

qgallouedec

import urllib.request
from datetime import datetime

import wandb
import yaml
from yaml.loader import SafeLoader

atari_ids = [
    # "AdventureNoFrameskip-v4",
    # "AirRaidNoFrameskip-v4",

janert

Running GUI Applications in a Docker Container

Containers are not usually associated with GUI applications, but there may be times when one might still want to run such a program inside a container, for example to isolate the application's dependencies. Installing a GUI application in a container means that not only the application, but also all its specific dependencies are encapsulated inside the container (respectively, the container image), and can therefore reliably be removed from the system in a single step.

The primary challenge is to let a container communicate with the host's display system, so that it can create GUI windows on the host. A GUI application will likely also need to share files with the host system, which in turn requires the appropriate user permissions.

In this example, I will use the pinta paint program, which requires the Mono runtime. I do not use any other programs that depend on Mono, and as I like to keep my system installation re

ppoffice

#!/bin/sh

[ -x /etc/vnc/xstartup ] && exec /etc/vnc/xstartup
[ -r $HOME/.Xresources ] && xrdb $HOME/.Xresources
vncconfig -iconic &
export DESKTOP_SESSION=/usr/share/xsessions/ubuntu.desktop
export XDG_CURRENT_DESKTOP=ubuntu:GNOME
export GNOME_SHELL_SESSION_MODE=ubuntu
export XDG_DATA_DIRS=/usr/share/ubuntu:/usr/local/share/:/usr/share/:/var/lib/snapd/desktop
dbus-launch --exit-with-session /usr/bin/gnome-session --systemd --session=ubuntu

Starbuck5

import cv2
import pygame
import numpy
import functools

# WHAT IS THIS?
# This script is a simple ascii video player made in Python / pygame
# It allows you to drop in videos, or to use the webcam

pygame.init()