openfl
FindTheMag
openfl | FindTheMag | |
---|---|---|
4 | 10 | |
660 | 7 | |
1.7% | - | |
8.7 | 2.8 | |
5 days ago | 6 months ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
openfl
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Dectralized AI solutions/building blocks?
We have petals.ml for distributing running a single model large model for inference. We have [flower](flower.dev),tensor flow federated,openfl, etc for building federated learning.
- Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
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[R][P] OpenFL: An open-source framework for Federated Learning
Code for https://arxiv.org/abs/2105.06413 found: https://github.com/intel/openfl
FindTheMag
- Can I mine anything with a gtx 560 or a gtx 660?
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I made a tool to make it easier to heat your home with BOINC (like Folding@home).
This tool isn't price-sensitive but it could certainly be expanded to include such information if you wanted. I do make another tool https://github.com/makeasnek/FindTheMag, version two of that which should be released in the next month does pull price data about Gridcoin ( a coin that can be earned using BOINC ) and control crunching based on that, and it has this BOINCThermostat function built in as well.
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What happened to QUICKMAG.ml?
Idk but there's always FindTheMag https://github.com/makeasnek/FindTheMag
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Magnitude question....
Magnitude can vary quite greatly between projects, FindTheMag can show you your magnitude/hour on each project you're crunching. If all your crunching is under the same e-mail address and that e-mail has a beacon associated with it, there is no way the magnitude awarded is wrong.
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Gridcoin is the most profitable coin to "mine" with a GPU
Quickmag can give you an estimate of what you might make with various hardware, rarer cards have wider ranges in terms of estimate accuracy. FindTheMag is good for finding actual performance/profitability per project on your specific hardware. Also check out https://www.reddit.com/r/gridcoin/comments/svgjy6/gridcoin_miningcrunching_guide_and_faq_2022/
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Gridcoin Mining/Crunching Guide and FAQ 2022
You can get a rough estimate of what you might earn with your CPU/GPU combination using Quickmag. Note that Quickmag is unable to list all projects due to some projects not exporting the correct kind of stats. If you are solo crunching and have been crunching for more than a week, you can also use FindTheMag to get suggestions based on your machine's actual performance.
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New to Gridcoin? Get started here! (FAQ 2022 Edition)
Crunching: You can crunch with any computer (Mac, PC, or Linux). To get started crunching and earn your first GRC, we strongly suggest pool mining as it is the simplest way to get started. In short, you must create an account at a pool, choose which scientific research you want to participate in, download the BOINC software, and connect BOINC to the pool. After a few days, you can withdraw your GRC to your GRC wallet. You can use Quickmag to estimate how much GRC per day you can earn with your hardware, and FindTheMag to optimize your crunching (non-pool crunchers only) once you've been crunching for a week or two.
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Reminder: Want to optimize your crunching? There's a tool for that, well two actually
FindTheMag will pull stats from your own BOINC client so it's machine-specific, and mag stats from your Gridcoin wallet, and it will tell you the mag/hr you earn for each project. It will also suggest BOINC resource share (project weight) so you can dedicate a certain percent of your time to "mining projects" vs "passion projects" depending on how much you care about how much GRC you get.
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New tool for calculating the most efficient projects to crunch based on your hardware
Download it on GitHub at https://github.com/makeasnek/FindTheMag
What are some alternatives?
PySyft - Perform data science on data that remains in someone else's server
gpu-utils - A set of utilities for monitoring and customizing GPU performance
FATE - An Industrial Grade Federated Learning Framework
boinc - Open-source software for volunteer computing and grid computing.
fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
distributed - A distributed task scheduler for Dask
sparktorch - Train and run Pytorch models on Apache Spark.
BOINCThermostat - A simple script to resume/suspend BOINC based on ambient temperature
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
flpytorch - FL_PyTorch: Optimization Research Simulator for Federated Learning