robust-machine-learning

Open-source projects categorized as robust-machine-learning

Top 4 robust-machine-learning Open-Source Projects

  • cleanlab

    The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  • Project mention: [Research] Detecting Annotation Errors in Semantic Segmentation Data | /r/MachineLearning | 2023-11-05

    We have feely open-sourced our new method for improving segmentation data, published a paper on the research behind it, and released a 5-min code tutorial. You can also read more in the blog if you'd like.

  • awesome-open-data-centric-ai

    Curated list of open source tooling for data-centric AI on unstructured data.

  • 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.

    InfluxDB logo
  • adversarial-reinforcement-learning

    Reading list for adversarial perspective and robustness in deep reinforcement learning.

  • Project mention: Safety in Deep Reinforcement Learning | /r/programming | 2023-12-06
  • scikit-clean

    A collection of algorithms for detecting and handling label noise

  • Project mention: Ask HN: What side projects landed you a job? | news.ycombinator.com | 2023-12-03

    Among all these feel-good stories, how about one with a bit different ending?

    During my masters, I created a ML library that dealt with noise in dataset. I implemented bunch of papers, but unlike your usual research code, I spent a long time obsessing about it's API, performance, created documentation, CI- the whole shebang [1]. But then, like avg research code, I moved on and promptly forgot about it.

    One day about a year ago the cofounder of a very new, small startup working on something similar texted me about the project on linkedin. We chatted for a bit, but as a guy who thinks he's too cool for linkedin, I next logged in and saw his last message about wanting to collaborate about 3/4 months after the fact.

    Well they raised $25 million dollars a few months ago :(

    [1] https://github.com/Shihab-Shahriar/scikit-clean

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).

robust-machine-learning related posts

  • [Research] Detecting Annotation Errors in Semantic Segmentation Data

    1 project | /r/MachineLearning | 5 Nov 2023
  • [R] Automated Quality Assurance for Object Detection Datasets

    1 project | /r/computervision | 28 Sep 2023
  • [Research] Detecting Errors in Numerical Data via any Regression Model

    1 project | /r/statistics | 20 Sep 2023
  • Detecting Errors in Numerical Data via Any Regression Model

    1 project | news.ycombinator.com | 18 Sep 2023
  • cleanlab v2.5 now supports all major ML tasks (adds regression, object detection, and image segmentation)

    1 project | /r/coolgithubprojects | 17 Sep 2023
  • Enhancing Product Analytics and E-commerce Business

    1 project | /r/ecommerce | 6 Jul 2023
  • Databricks users can now automatically correct data and improve ML models

    1 project | /r/dataengineering | 2 Jun 2023
  • A note from our sponsor - SaaSHub
    www.saashub.com | 11 May 2024
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Index

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

Project Stars
1 cleanlab 8,719
2 awesome-open-data-centric-ai 678
3 adversarial-reinforcement-learning 75
4 scikit-clean 13

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