Prophet
jj
Prophet | jj | |
---|---|---|
225 | 114 | |
19,384 | 9,804 | |
0.7% | - | |
7.1 | 10.0 | |
about 1 month ago | 7 months ago | |
Python | Rust | |
MIT License | 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.
Prophet
- Prophet: Automatic Forecasting Procedure (2023)
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AI and Time Series Data: Harnessing the Power of Temporal Insights
As we prepare for the next phase in AI evolution, embracing decentralized approaches and synthetic data generation will be essential. Developers are encouraged to explore technologies like TensorFlow, Prophet, and platforms hosted on Ocean Protocol and License Token for further exploration. Additionally, more detailed discussions on these topics can be found in in-depth Dev.to posts such as Apache Mahout: A Deep Dive into Open Source Innovation and Funding Models.
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AI and Time Series Data: Harnessing Temporal Insights in a Digital Age
Emerging trends like decentralized data markets, synthetic time series generation, and enhanced NFT-based monetization models underline the vibrant future awaiting AI-driven predictive analytics. For developers and industry leaders, familiarizing yourself with tools like TensorFlow, Prophet, and Nixtla’s TimeGPT is crucial to stay ahead in this dynamic field.
- TimesFM (Time Series Foundation Model) for time-series forecasting
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Moirai: A Time Series Foundation Model for Universal Forecasting
https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
jj
- Jujutsu: A Git-compatible VCS that is both simple and powerful
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Ask HN: Git Alternatives – Sapling vs. Jj
have you experienced particularly slow pushes with large repositories at all, and if so were you able to resolve them?
I did some profiling & it looks like the issue lies with `libgit2`, but I haven’t been able to replicate the issue outside of that work codebase[0].
[0]: https://github.com/martinvonz/jj/issues/1841#issuecomment-23...
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Rewrite Git history via drag-and-drop
I'm just going to drop a casual shout-out to jujutsu[1]. It's 100% git-compatible—you can mix and match jj and git commands whenever needed, and your coworkers never need know you're using something else—but it elegantly solves things like rebase/merge conflicts (and solves a lot of other sharp edges in git at the same time).
It is one of those rare birds that is both more powerful than the tool that it replaces while also being drastically easier to use. I am (was?) a git power user, and it took me all of a day to replace git with jj, and the rest of the week to become essentially as fluent. I will never go back.
[1] https://github.com/martinvonz/jj
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Jujutsu (jj), a Git compatible VCS
In some cases, yes, but I think the way jj handles conflicts is easier to follow. You can see the conflict resolution in `jj diff` and you can rebase it like a regular commit. rerere's state is harder to understand, I think. See https://github.com/martinvonz/jj/issues/175#issuecomment-107... for some more discussion.
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How to fork: Best practices and guide
This will be easier with jujutsu(https://github.com/martinvonz/jj)?
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Why some of us like "interdiff" code review systems (not GitHub)
We strongly considered Graphite as an alternative to Gerrit at my last job that I mentioned at the start of this post (which I am no longer at, actually) because it does look like an absolutely excellent product, I will admit. You should all be proud of a smart design and smart set of tools.
But there's a really really really really really really big problem. Me and the other main engineer on our team use a custom frontend to Git called Jujutsu[1] for all my development. Jujutsu is about 1000x better than Git. So that's nice.
But gt, the graphite client, is not open source. I have no idea how to make them work together. I have no idea how to extend Jujutsu to handle Graphite stacks, because I don't even think there's an API to handle any of this.
I even wrote a Gerrit integration for Jujutsu to handle this, and Gerrit + Jujutsu is absolutely a force to be reckoned with IMO, even if the UX isn't as nice as Graphite's.
Please! Make gt open source and make it possible for third parties to make and update stacks. This isn't just useful for jj but all kinds of automation that wants to contribute patches -- imagine tools like Google's internal "Code Review ML models" that might recommend you rename a variable based on context. They will suggest the fix for you or even apply it!
[1] https://github.com/martinvonz/jj
- Sapling: Source control that's user-friendly and scalable
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Circles of Truth: Overcomplicating simple commands
Honestly, that's less keystrokes than adding a shellAlias. If you aren't sold on using nix to manage your system's configuration, this seems overcomplicated. If you use nix, then you are already probably frustrated at keeping your nix configuration in sync with quick little optimizations you do on a regular basis. With nix, everything is source controlled. If you are a dotfiler, then you would still have to commit your changes. I guess that's true in my solution as well. The git add in my update is probably the most dubious element of this entire schrade. That is unless, you are using jj.
- Jujutsu: A Next Generation Replacement for Git
- A Git story: Not so fun this time
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
Git - Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.
tensorflow - An Open Source Machine Learning Framework for Everyone
git-branchless - High-velocity, monorepo-scale workflow for Git
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
gut - A beginner friendly porcelain for git