Ray
Faust
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Ray | Faust | |
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42 | 8 | |
31,101 | 6,674 | |
3.1% | 0.1% | |
10.0 | 1.4 | |
about 11 hours ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
Ray
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Open Source Advent Fun Wraps Up!
22. Ray | Github | tutorial
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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
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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
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TransformerXL + PPO Baseline + MemoryGym
RLlib
- Is dynamic action masking possible in Rllib?
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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
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Think about it for a second
https://ray.io (just dropping the link)
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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
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Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent
Adding these for anyone who had a similar question about Ray vs dask 1, 2, 3
Faust
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Faust VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Kafka ETL tool, is there any?
If you really want a "modern" language (I assume you just want Python based on your other comments), there's Robinhood's Faust, though it's been deprecated for a while. It'll still probably do what you want given your criteria, but it's not really suitable for long-term use given it hasn't been updated since October 2020.
- How to join using Faust Streaming (Python implementation of Kafka Streams API)?
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Using Kafka with Python... is Confluent the only option?
Unfortunately Faust is dead, robinhood abandoned it 2020, there are no new commits and they don’t react to any questions etc..: https://github.com/robinhood/faust
- Why did Robinhood abandon Faust?
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How to integrate Faust with Django?
I am trying to integrate Faust with Django to publish the messages to Kafka.Here is the example in Faust repo: https://github.com/robinhood/faust/tree/master/examples/django
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Event-Driven Architectures with Kafka and Python
The best bet seemed like the open source Faust (from Robinhood, and Celery in its lineage). It was too heavy duty for our simple needs and moreover it unfortunately seems abandoned. There is a community fork in a bit of disarray last i looked(tests failed etc.)
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Wekelijkse /r/FreeDutch Discussiedraad
Vette IT ook. Tijdje open sollicitatie overwogen. Nerdgasm
What are some alternatives?
optuna - A hyperparameter optimization framework
Thespian Actor Library - Python Actor concurrency library
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Wallaroo - Distributed Stream Processing
gevent - Coroutine-based concurrency library for Python
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
vibora - Fast, asynchronous and elegant Python web framework.
SCOOP (Scalable COncurrent Operations in Python) - SCOOP (Scalable COncurrent Operations in Python)
eventlet - Concurrent networking library for Python