openfold
boinc
openfold | boinc | |
---|---|---|
3 | 213 | |
2,392 | 1,918 | |
1.9% | 1.0% | |
9.4 | 9.6 | |
3 days ago | 1 day ago | |
Python | PHP | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
openfold
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TIL : about the game "Foldit", a puzzle game about protein folding. In 2011, its gamers helped decipher a protein of a HIV-like virus, solving a scientific problem that went unsolved for 15 years in as little as 10 days.
Seeing this stuff on GitHub is mind-blowing: https://github.com/aqlaboratory/openfold
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[P] Detailed Explanation of how AlphaFold Works, Protein Folding and Design
I plan on writing another article about ESMFold and OmegaFold if you find this helpful! Let me know what you think, and DM me should you find any inaccuracies! Finally, a shoutout to OpenFold for their open-source AF2 code that allowed me to triple-check dimensionalities :)
- OpenFold: An open-source replication of Alphafold2
boinc
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Bitcoin Block 840000
The only way I can foresee a cryptocoin actually holding value is if spending the coin meant spending processing cycles and RAM doing things like this:
https://en.wikipedia.org/wiki/List_of_volunteer_computing_pr...
But in more general sense, less like https://boinc.berkeley.edu/ and more like AWS...
It's the only way to have value, actually holding computing power in a distributed network.
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Distributed Inference and Fine-Tuning of Large Language Models over the Internet
Made me think of Gridcoin and BOINC https://boinc.berkeley.edu/
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Have you ever donated your computing power with BOINC? Take 5 minutes to fill out the 2023 BOINC Census!
The BOINC Census is back for another year! BOINC is an open source software and network for volunteer computing. People can use it do donate their CPU/GPU power to various scientific research areas like cancer, drug discovery, mapping the galaxy, and more.
- Berkeley Open Infrastructure for Network Computing
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Ask HN: What should I do with my leftover bandwidth?
A few years back, I was in a similar situation and found BOINC(https://boinc.berkeley.edu/) to be a great way to contribute. It's a platform that lets you support various scientific research projects by sharing your computational power and bandwidth. However, it's worth noting that BOINC might tends to be more CPU/GPU intensive rather than bandwidth-heavy
- If you have a decent computer, you could contribute to science by installing Boinc. A couple of different projects are researching COVID cures.
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It's never too late for Mapping the Mayo Way! Get crunching (mapping)!
Sign up or login to the Milky Way MayoCoin team (CPU only) and Einstein MayoCoin team (GPU and CPU) using a BOINC account. Use your Reddit or Discord username.
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Ash HN: How can I make my idle CPU time useful to others?
Berkeley Open Infrastructure for Network Computing (BOINC)
https://boinc.berkeley.edu/
https://boinc.berkeley.edu/projects.php
Has a unified management experience with the ability to subscribe to various projects, and set priorities/schedules for work units.
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Scientific computing on a personal machine vs university resources
Probably BOINC (https://boinc.berkeley.edu/) could be a good solution for you. You can write me a DM, and I could help you to clarify is this something that could help you with your research. By default, to run your computations on BOINC you need to create a server, but we can deal with that and run your research on our own server first, so this could help you to start faster, and then later decide if you need a separate server. And yes - it's totally free.
- Boinc
What are some alternatives?
FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters
android - :phone: The ownCloud Android App
af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
ProteinStructurePrediction - Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.
fairgame - Tool to help us buy hard to find items.
tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
android - 📱 Nextcloud Android app
Senpwai - A desktop app for tracking and batch downloading anime
pyLoad - The free and open-source Download Manager written in pure Python
openhab-android - openHAB client for Android
badreads - badreads replacement for goodreads (book tracking) 📚