Lightgbm

Open-source projects categorized as Lightgbm
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Language: + Python + Jupyter Notebook + C++ + Scala + Go + Ruby
Topics: Machine Learning Xgboost Python scikit-learn Data Science
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Top 23 Lightgbm Open-Source Projects

  • LightGBM

    A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

    • Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29

    SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.

  • SynapseML

    Simple and Distributed Machine Learning

    • Project mention: FLaNK Stack Weekly for 12 September 2023 | dev.to | 2023-09-12

  • 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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  • mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    • Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24

    Web App is using two open-source packages that I've created:

    - MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised

    - Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury

    You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.

  • eli5

    A library for debugging/inspecting machine learning classifiers and explaining their predictions

  • m2cgen

    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

    • Project mention: How to use python ML script in tauri? | /r/rust | 2023-05-02

    Check out: https://github.com/BayesWitnesses/m2cgen

  • mars

    Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  • MLBox

    MLBox is a powerful Automated Machine Learning python library.

  • 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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  • lambda-packs

    Precompiled packages for AWS Lambda

  • xorbits

    Scalable Python DS & ML, in an API compatible & lightning fast way.

  • awesome-gradient-boosting-papers

    A curated list of gradient boosting research papers with implementations.

  • mlforecast

    Scalable machine 🤖 learning for time series forecasting.

    • Project mention: Sales forecast for next two years | /r/datascience | 2023-06-25

    MLForecast

  • eland

    Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

    • Project mention: I'm getting elasticsearch.BadRequestError: BadRequestError(400, 'illegal_argument_exception', "specified fields can't be null or empty") using Eland library | /r/elasticsearch | 2023-05-02

    We have a fix for this issue reported here merged and pending a release. Hopefully that release will happen in the next few days, then you can upgrade and the default experience for everyone won't be as confusing :)

  • MLServer

    An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

  • neptune-client

    📘 The MLOps stack component for experiment tracking

    • Project mention: Show HN: A gallery of dev tool marketing examples | news.ycombinator.com | 2023-10-07

    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/.

    Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase, Posthog, Auth0).

    So past year and a half, I’ve been screenshoting examples of how companies that are good at dev marketing do things like pricing, landing page design, ads, videos, blog conversion ideas. And for each example I added a note as to why I thought it was good.

    Now, it is ~140 examples organized by tags so you can browse all or get stuff for a particular topic.

    Hope it is helpful to some dev tool founders and marketers in here.

    wdyt?

    Also, I am always looking for new companies/marketing ideas to add to this, so if you’d like to share good examples I’d really appreciate it.

  • FastTreeSHAP

    Fast SHAP value computation for interpreting tree-based models

  • leaves

    pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

  • Intrusion-Detection-System-Using-Machine-Learning

    Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  • lleaves

    Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

    • Project mention: LLeaves: A LLVM-based compiler for LightGBM decision trees | news.ycombinator.com | 2023-07-08

  • amazon-sagemaker-local-mode

    Amazon SageMaker Local Mode Examples

    • Project mention: Debugging Python Code in Amazon SageMaker Locally Using Visual Studio Code and PyCharm: A Step-by-Step Guide | dev.to | 2023-11-15

    git clone https://github.com/aws-samples/amazon-sagemaker-local-mode/ cd amazon-sagemaker-local-mode/general_pipeline_local_debug python3 -m venv .venv source .venv/bin/activate pip install jupyter jupyter lab

  • benchmarks

    Comparison tools (by catboost)

  • fairgbm

    Train Gradient Boosting models that are both high-performance *and* Fair!

  • alpha-zero-boosted

    A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

  • LightGBM

    High performance gradient boosting for Ruby

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Lightgbm related posts

Index

What are some of the best open-source Lightgbm projects? This list will help you:

Project Stars
1 LightGBM 16,043
2 SynapseML 4,964
3 mljar-supervised 2,927
4 eli5 2,708
5 m2cgen 2,706
6 mars 2,675
7 MLBox 1,474
8 lambda-packs 1,105
9 xorbits 1,002
10 awesome-gradient-boosting-papers 980
11 mlforecast 713
12 eland 608
13 MLServer 568
14 neptune-client 531
15 FastTreeSHAP 492
16 leaves 413
17 Intrusion-Detection-System-Using-Machine-Learning 320
18 lleaves 292
19 amazon-sagemaker-local-mode 227
20 benchmarks 163
21 fairgbm 97
22 alpha-zero-boosted 79
23 LightGBM 66

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