football
Ray
| football | Ray | |
|---|---|---|
| 2 | 43 | |
| 3,253 | 31,179 | |
| 0.6% | 1.8% | |
| 0.0 | 10.0 | |
| 6 months ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
football
-
Creating a new football game
For fun, merging such an idea with Google's open source football research project and its AI could result in a very interesting game!
-
How to find which Manjaro package corresponds to which Debian packages?
So I switched to Manjaro from Ubuntu quite some time ago and I am loving the decision whenever I have to build an application there are a bunch of required packages that the application to build is dependent on. But as Debian-based distros are the most popular, the packages are listed as in the Debian Repository. So is there a way I can find which package in Manjaro Repository corresponds to the one in the Debian Repositories as the names of the packages are usually different. Like I was recently trying to install google-research football on my machine and there were the following packages listed as dependencies :-
Ray
- Ray: Unified framework for scaling AI and Python applications
-
Open Source Advent Fun Wraps Up!
22. Ray | Github | tutorial
-
Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models
Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...
- Ray – an open source project for scaling AI workloads
-
Methods to keep agents inside grid world.
Here's a reference from RLlib that points to docs and an example, and here's one from one of my projects that includes all my own implementations
-
TransformerXL + PPO Baseline + MemoryGym
RLlib
- Is dynamic action masking possible in Rllib?
-
AWS re:Invent 2022 Recap | Data & Analytics services
⦿ AWS Glue Data Quality - Automatic data quality rule recommendations based on your data AWS Glue for Ray - Data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads
-
Think about it for a second
https://ray.io (just dropping the link)
-
Elixir Livebook now as a desktop app
I've wondered whether it's easier to add data analyst stuff to Elixir that Python seems to have, or add features to Python that Erlang (and by extension Elixir) provides out of the box.
By what I can see, if you want multiprocessing on Python in an easier way (let's say running async), you have to use something like ray core[0], then if you want multiple machines you need redis(?). Elixir/Erlang supports this out of the box.
Explorer[1] is an interesting approach, where it uses Rust via Rustler (Elixir library to call Rust code) and uses Polars as its dataframe library. I think Rustler needs to be reworked for this usecase, as it can be slow to return data. I made initial improvements which drastically improves encoding (https://github.com/elixir-nx/explorer/pull/282 and https://github.com/elixir-nx/explorer/pull/286, tldr 20+ seconds down to 3).
[0] https://github.com/ray-project/ray
What are some alternatives?
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
optuna - A hyperparameter optimization framework
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
Faust - Python Stream Processing
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
gevent - Coroutine-based concurrency library for Python
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
SCOOP (Scalable COncurrent Operations in Python) - SCOOP (Scalable COncurrent Operations in Python)
Thespian Actor Library - Python Actor concurrency library
Dask - Parallel computing with task scheduling