CoreFreq
fastText
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CoreFreq | fastText | |
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34 | 8 | |
1,918 | 25,505 | |
- | - | |
9.5 | 6.0 | |
1 day ago | about 1 month ago | |
C | HTML | |
GNU General Public License v3.0 only | MIT License |
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CoreFreq
- Has anyone been able to figure out how to read VCCSA (system agent voltage) on linux?
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Can all Zen 3 APUs run 4x 16GB 3200MT CL16 stable? (just XMP)
For sensor and whatnot, check out corefreq and ryzen_smu.
- Linux alternative to HwInfo on Windows
- FLiP Stack Weekly for 06-Jan-2023
- CoreFreq, a CPU monitoring software frequencies, ratios, C-states
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Anyone using CoreFreq? If so, what are your thoughts? Is it trustworthy?
+1500 Contributors and Users on GitHub
- CoreFreq Gives Peek at CPU Performance Info on Linux
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list of server builds with power draw ?
Sure! I will appreciate a full CoreFreq report of the TR 5965WX based on the develop branch.
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Core-to-core latencies of the AMD EPYC Milan, 3rd gen
For AMD, if you have query access to the SMU coprocessor, you could use corefreq and ryzen_smu; they're for sensor readouts, and they do slightly different things. (And Zentimings and HWiNFO for windows.)
fastText
- FastText Repo Archived
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Pixelfed and Naive Bayes: The Grandfather of Spam Filters Still Making Waves
- trained with cross-entropy, meaning that model scores can be used more effectively as a 'confidence' - e.g. for spam if you want to say something like "if prediction score > X, then filter", Naive Bayes is not ideal due to the 'naive' assumption which makes the scores very un-calibrated (it tends to give extremely high or low confidence scores for most things).
disclaimer: I haven't really thought about NLP for about 3 years so there may be something better than this now
[1] https://github.com/facebookresearch/fastText
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How worried are you about AI taking over music?
fasttext 50
- FLiP Stack Weekly for 06-Jan-2023
- Fasttext: Library for efficient text classification and representation learning
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Reverse Language Reconstructing by Consensus [D] [P]
https://github.com/facebookresearch/fastText the readme may have what I need built in. But not sure. I hate ML documentation. I would love to see data input to data output examples because people expect us to understand their line of thought, and it just doesn't work out that way. This looks like what I need, but I've completely misinterpreted ML documentation many times. Ha
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Virtual Sommelier, text classifier in the browser
To use the model trained with FastText from the browser, it is necessary to load it via WebAssembly. However, you don't require a WebAssembly knowledge as you can use the fasttext.js file which has all the glue code.
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Synonyms.vim: feedback needed.
Having the backend code in the plugin repo, and in python held me off. I wrote it to split vimscript/python from the command that finds the info, as it allows to use powerful tools like fasttext rather than a dictionary.
What are some alternatives?
RyzenAdj - Adjust power management settings for Ryzen APUs
Opus-MT - Open neural machine translation models and web services
corectrl
synonyms.vim - Finding synonyms of words within vim, save time going back and forth to thesaurus.
cacule-cpu-scheduler - The CacULE CPU scheduler is based on interactivity score mechanism. The interactivity score is inspired by the ULE scheduler (FreeBSD scheduler).
talk - Group video call for the web. No signups. No downloads. [Moved to: https://github.com/vasanthv/tlk]
ryzen_smu - A Linux kernel driver that exposes access to the SMU (System Management Unit) for certain AMD Ryzen Processors. Read only mirror of https://gitlab.com/leogx9r/ryzen_smu
TRIME - [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
cpuid2cpuflags - Tool to generate CPU_FLAGS_* for your CPU
Gauss - Stable Diffusion macOS native app
pcm - Processor Counter Monitor [Moved to: https://github.com/intel/pcm]
React - The library for web and native user interfaces.