Top 23 Xgboost Open-Source Projects

• xgboost

  10 25,576 9.6 C++

  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

  

Project mention: XGBoost 2.0 | news.ycombinator.com | 2023-10-13

• kserve

  3 3,068 9.4 Python

  Standardized Serverless ML Inference Platform on Kubernetes

  

• InfluxDB

  www.influxdata.com featured

  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.

  

• mljar-supervised

  51 2,936 8.5 Python

  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.

• dtreeviz

  3 2,842 5.4 Jupyter Notebook

  A python library for decision tree visualization and model interpretation.

Project mention: Dtreeviz: Decision Tree Visualization | news.ycombinator.com | 2023-08-03

• eli5

  1 2,730 0.0 Jupyter Notebook

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

  

• m2cgen

  8 2,710 0.0 Python

  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

  

• mars

  0 2,678 5.7 Python

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

  

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• deepdetect

  4 2,495 6.7 C++

  Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

  

Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13

For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.

• AutoViz

  2 1,628 7.7 Python

  Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• MLBox

  1 1,477 0.0 Python

  MLBox is a powerful Automated Machine Learning python library.

• xorbits

  7 1,006 8.8 Python

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

  

• awesome-gradient-boosting-papers

  1 981 3.7 Python

  A curated list of gradient boosting research papers with implementations.

• mlforecast

  11 720 8.7 Python

  Scalable machine 🤖 learning for time series forecasting.

  

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

MLForecast

• MLServer

  4 582 9.5 Python

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

  

• neptune-client

  24 536 9.7 Python

  📘 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

  7 493 4.4 Python

  Fast SHAP value computation for interpreting tree-based models

  

• Auto_ViML

  2 490 4.2 Python

  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• Hyperactive

  8 490 7.7 Python

  An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27

• leaves

  3 414 1.8 Go

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

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

  3 325 2.9 Jupyter Notebook

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

  

• feature-engineering-tutorials

  1 266 0.0 Jupyter Notebook

  Data Science Feature Engineering and Selection Tutorials

  

• fraud-detection-using-machine-learning

  7 248 1.8 Jupyter Notebook

  Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

  

• benchmarks

  1 164 4.4 Jupyter Notebook

  Comparison tools (by catboost)

  

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

Xgboost related posts

• Show HN: A gallery of dev tool marketing examples

  1 project | news.ycombinator.com | 7 Oct 2023

• How to structure/manage a machine learning experiment? (medical imaging)

  1 project | /r/learnmachinelearning | 29 Aug 2023

• How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)

  1 project | dev.to | 24 Aug 2023

• Dtreeviz: Decision Tree Visualization

  1 project | news.ycombinator.com | 3 Aug 2023

• [D] Is there any all in one deep learning platform or software

  1 project | /r/MachineLearning | 9 Jul 2023

• New Data Scientist, want to get into MLOps, where to start?

  1 project | /r/developer | 4 Jul 2023

• Does a fully sentient (Or at least as sentient as you and me) AI with free will have a soul?

  1 project | /r/ArtificialInteligence | 20 May 2023
• A note from our sponsor - InfluxDB
  www.influxdata.com | 2 May 2024

  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. Learn more →

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