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Top 23 Regression Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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Math PHP
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
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orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
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Project mention: The Current State of Clojure's Machine Learning Ecosystem | news.ycombinator.com | 2024-04-07> I don't think it's right to recommend that new users move away from the package because of licensing issues
I was going to chime in to agree but then I saw how this was done - a completely innocuous looking commit:
https://github.com/haifengl/smile/commit/6f22097b233a3436519...
And literally no mention in the release notes:
https://github.com/haifengl/smile/releases/tag/v3.0.0
I think if you are going to change license especially in a way that makes it less permissive you need to be super open and clear about both the fact you are doing it and your reasons for that. This is done so silently as to look like it is intentionally trying to mislead and trick people.
So maybe I wouldn't say to move away because of the specific license, but it's legitimate to avoid something when it's so clearly driven by a single entity and that entity acts in a way that isn't trustworthy.
Project mention: How much C++ is used when it comes to performing quant research? | /r/quant | 2023-07-03Does C++ have the equivalent of Pandas or Apache Spark? Are there extensive libraries that exist/are being developed that allow you to perform operations with data? Or do people just use a combination of Python & its various libraries (NumPy etc)? If we leave aside the data bit, are there libraries that allow you to develop ML models in C++ (mlpack for instance ) faster & more efficiently compared to their Python counterparts (scikit-learn)? On a more general note, how does C++ fit into the routine of a Quant Researcher? And at what scale does an organization decide they need to start switching to other languages and spend more time developing the code ?
Project mention: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22Also https://github.com/timeseriesAI/tsai
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.
Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.
Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.
This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...
Project mention: Simple Statistics: Statistical methods in JavaScript for browsers and servers | news.ycombinator.com | 2023-06-24This project is nice enough, but I wonder what is the point of some of the simpler functions.
The maxSorted function for example is as trivial as it gets: https://github.com/simple-statistics/simple-statistics/blob/... It would be actually simpler for everyone without the abstraction.
Project mention: Machine learning and deep learning library for the PHP language | news.ycombinator.com | 2023-11-04
Project mention: Owl project (OCaml scientific computing) formally concluded | news.ycombinator.com | 2024-02-19
Project mention: AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though | /r/algoprojects | 2023-12-10
Regression related posts
- The Current State of Clojure's Machine Learning Ecosystem
- AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though
- Tsetlin machine – the other AI toolbooks
- Does anyone can test http://turnjs.com/ on Firefox? I tried one and it's broken since Firefox nightly 122.01a
- Tsetlin Machine Unified (TMU) - One Codebase to Rule Them All
- Exploring the relationships between deprivation and litter on the streets of Glasgow
- Simple Statistics: Statistical methods in JavaScript for browsers and servers
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Index
What are some of the best open-source Regression projects? This list will help you:
Project | Stars | |
---|---|---|
1 | pycaret | 8,385 |
2 | Smile | 5,921 |
3 | mlpack | 4,797 |
4 | tsai | 4,659 |
5 | orange | 4,604 |
6 | FLAML | 3,671 |
7 | MathNet | 3,383 |
8 | simple-statistics | 3,326 |
9 | lazypredict | 2,661 |
10 | Math PHP | 2,303 |
11 | RubixML | 1,972 |
12 | orbit | 1,799 |
13 | MLJ.jl | 1,720 |
14 | MLBox | 1,474 |
15 | BeautifulAlgorithms.jl | 1,305 |
16 | Tribuo | 1,218 |
17 | owl | 1,179 |
18 | MAPIE | 1,150 |
19 | reassure | 1,097 |
20 | AlphaPy | 1,049 |
21 | mlr3 | 879 |
22 | PyABSA | 854 |
23 | RustQuant | 853 |
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