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Home by Johnson 0 Updated 2025-04-18 Created 2025-03-12
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Llama2 7B by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
Open weight LLM model by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
Farama Foundation by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
Not-for profit that took up OpenAI Gym maintenance after OpenAI dropped it.
Farama Gymnasium solutions by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
It would be cool if they maintained their own list!
github.com/DLR-RM/rl-baselines3-zoo seems to contain some implementations.
Farama Gymnasium by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
OpenAI Gym development by OpenAI ceased in 2021, and the Farama Foundation not for profit took up maintenance of it.
gymnasium==1.1.1 just worked on Ubuntu 24.10 testing with the hello world gym/random_control.py:
sudo apt install swig
cd gym
virtualenv -p python3
. .venv/bin/activate
pip install -r requirements-python-3-12.txt
./random_control.py
just works and opens a game window on my desktop.
Figure 1.
Lunar Lander environment of Farama Gymnasium with random controls
.
This example just passes random commands to the ship so don't expect wonders. The cool thing about it though is that you can open any environment with it e.g.
./random_control.py CarRacing-v3
To manually control it we can use gym/moon_play.py:
cd gym
./moon_play.py
Manual control is extremely useful to get an intuition about the problem. You will notice immediately that controlling the ship is extremely difficult.
Figure 2.
Lunar Lander environment of Farama Gymnasium with manual control
.
We slow it down to 10 FPS to give us some fighting chance.
We don't know if it is realistic, but what is certain is that this is definitely not designed to be a fun video game!
  • the legs of the lander are short and soft, and you're not supposed to hit the body on ground, so you have to go very slow
  • the thrusters are quite weak and inertia management is super important
  • the ground is very slippery
A good strategy is to land anywhere very slowly and then inch yourself towards the landing pad.
The documentation for it is available at: gymnasium.farama.org/environments/box2d/lunar_lander/ The agent input is described as:
The state is an 8-dimensional vector: the coordinates of the lander in x & y, its linear velocities in x & y, its angle, its angular velocity, and two booleans that represent whether each leg is in contact with the ground or not.
so it is a fundamentally flawed robot training example as global x and y coordinates are precisely known.
Variation in the scenario comes from:
The actions are documented at:
so we can make it spin like mad counter clockwise with:
action = 1
To actually play the games manually with keyboard, you need to define your own keybindings with gymnasium.utils.play.play. Feature request for default keybindings: github.com/Farama-Foundation/Gymnasium/discussions/1330
There is no C API, you have to go through Python: github.com/Farama-Foundation/Gymnasium/discussions/1181. Shame.
DomainTools might contain one of the most complete historic revese DNA databases in existence, possibly via their 2021 acquisition of Farsight DNSDB, but we were unable to verify it because it is incredibly expensive: DomainTools historical reverse IP
viewdns.info reverse IP bug by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
Very curiously, their reverse IP search appears to be somewhat broken, or not to be historic, e.g.
We've contacted viewdns.info support and they replied:
The reverse IP tool will only show a domain if that is it's current IP address.
This is likely not accurate, more precisely it likely only works if it was the last IP address, not necessarily a current one.
Nvidia compute GPU by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11
This section is about Nvidia GPUs that are focused on compute rather than rendering.
Until 2020 these were branded as Nvidia Tesla, but then Nvidia dropped that brand due to confusion with the Tesla Inc. the car maker.[ref].
Nvidia GPU feature by Ciro Santilli 37 Updated 2025-07-16 Created 2025-03-11

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact