Top 10 auto-ml Open-Source Projects

• deepsparse

  21 2,895 9.5 Python

  Sparsity-aware deep learning inference runtime for CPUs

  

Project mention: Fast Llama 2 on CPUs with Sparse Fine-Tuning and DeepSparse | news.ycombinator.com | 2023-11-23

Interesting company. Yannic Kilcher interviewed Nir Shavit last year and they went into some depth: https://www.youtube.com/watch?v=0PAiQ1jTN5k DeepSparse is on GitHub: https://github.com/neuralmagic/deepsparse

• aimet

  2 1,943 9.6 Python

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  

• 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.

  

• MLBox

  1 1,479 0.0 Python

  MLBox is a powerful Automated Machine Learning python library.

• orion

  1 281 7.4 Python

  Asynchronous Distributed Hyperparameter Optimization. (by Epistimio)

  

• Deep_XF

  3 110 10.0 Jupyter Notebook

  Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Project mention: Deep_XF: NEW Data - star count:100.0 | /r/algoprojects | 2023-07-18

• nylon

  5 84 0.0 Python

  An intelligent, flexible grammar of machine learning.

• xplainable

  2 54 9.0 Python

  Real-time explainable machine learning for business optimisation

  

Project mention: Explainable (Structured) Machine Learning Algorithm | /r/Python | 2023-12-05

Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).

• SaaSHub

  www.saashub.com featured

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

  

• deep-fast-vision

  4 13 5.8 Python

  A Python library for rapid prototyping of deep transfer learning vision models.

• ML.NET-Auto-ML-ESRB-Rating-Classification

  3 3 0.0 C#

  Classifying Game ESRB Ratings using ML.NET Auto ML

• HockeyPenaltyPrediction

  1 1 2.6 Jupyter Notebook

  A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning

auto-ml related posts

• Explainable (Structured) Machine Learning Algorithm

  1 project | /r/Python | 5 Dec 2023

• Making deep transfer learning vision easier to work with, Deep Fast Vision (new python library)

  1 project | /r/learnpython | 18 May 2023

• Deep Fast Vision (new python library): Easy Auto-ML for Deep Transfer Learning Vision. Prototype Your Experiments Fast with this New Python Library!

  2 projects | /r/DeepLearningPapers | 18 May 2023

• The 3 Core Machine Learning Tasks

  1 project | dev.to | 21 Apr 2022

• What can you do in ML.NET with C#?

  2 projects | dev.to | 21 Apr 2022

• Git token, how to I encourage git to have me put in a username and password?

  1 project | /r/git | 1 Sep 2021

• Nylon: An intelligent, flexible grammar of machine learning.

  1 project | /r/artificial | 25 Jul 2021
• A note from our sponsor - SaaSHub
  www.saashub.com | 29 May 2024

  SaaSHub helps you find the best software and product alternatives Learn more →

Index

Sponsored

SaaSHub - Software Alternatives and Reviews

SaaSHub helps you find the best software and product alternatives

www.saashub.com