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Top 15 Python Lightgbm Projects
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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 | 2023-08-24Web 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.
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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
Check out: https://github.com/BayesWitnesses/m2cgen
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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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mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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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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MLForecast
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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 :)
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MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
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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.
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Project mention: LLeaves: A LLVM-based compiler for LightGBM decision trees | news.ycombinator.com | 2023-07-08
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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
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alpha-zero-boosted
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
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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).
The latest post mention was on 2023-11-15.
Python Lightgbm related posts
- Show HN: A gallery of dev tool marketing examples
- How to structure/manage a machine learning experiment? (medical imaging)
- How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
- [D] Is there any all in one deep learning platform or software
- LLeaves: A LLVM-based compiler for LightGBM decision trees
- New Data Scientist, want to get into MLOps, where to start?
- Does a fully sentient (Or at least as sentient as you and me) AI with free will have a soul?
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Index
What are some of the best open-source Lightgbm projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | mljar-supervised | 2,927 |
| 2 | m2cgen | 2,706 |
| 3 | mars | 2,675 |
| 4 | MLBox | 1,474 |
| 5 | lambda-packs | 1,105 |
| 6 | xorbits | 997 |
| 7 | awesome-gradient-boosting-papers | 979 |
| 8 | mlforecast | 707 |
| 9 | eland | 607 |
| 10 | MLServer | 565 |
| 11 | neptune-client | 526 |
| 12 | FastTreeSHAP | 492 |
| 13 | lleaves | 292 |
| 14 | amazon-sagemaker-local-mode | 227 |
| 15 | alpha-zero-boosted | 79 |
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