explainable-ml

Top 23 explainable-ml Open-Source Projects

  • pytorch-grad-cam

    Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

    Project mention: Exploring GradCam and More with FiftyOne | dev.to | 2024-02-13

    For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.

  • interpret

    Fit interpretable models. Explain blackbox machine learning.

  • 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.

  • shapash

    🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

    Project mention: GitHub - MAIF/shapash: Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models | /r/learnmachinelearning | 2023-06-26
  • awesome-explainable-graph-reasoning

    A collection of research papers and software related to explainability in graph machine learning.

  • AIX360

    Interpretability and explainability of data and machine learning models

  • trulens

    Evaluation and Tracking for LLM Experiments

    Project mention: FLaNK AI Weekly 18 March 2024 | dev.to | 2024-03-18
  • DALEX

    moDel Agnostic Language for Exploration and eXplanation

  • 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.

  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  • DiCE

    Generate Diverse Counterfactual Explanations for any machine learning model.

  • responsible-ai-toolbox

    Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  • OmniXAI

    OmniXAI: A Library for eXplainable AI

  • xplique

    👋 Xplique is a Neural Networks Explainability Toolbox

    Project mention: Xplique Is a Neural Networks Explainability Toolbox | news.ycombinator.com | 2024-02-02
  • tf-keras-vis

    Neural network visualization toolkit for tf.keras

  • CARLA

    CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)

  • explainable-cnn

    📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

  • shapley

    The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

  • awesome-shapley-value

    Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

  • Deep_XF

    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
  • TalkToModel

    TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

  • sagemaker-explaining-credit-decisions

    Amazon SageMaker Solution for explaining credit decisions.

  • SegGradCAM

    SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

  • xplainable

    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).

  • cnn-raccoon

    Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

  • SaaSHub

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

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 2024-03-18.

explainable-ml related posts

Index

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

Project Stars
1 pytorch-grad-cam 9,209
2 interpret 5,962
3 shapash 2,629
4 awesome-explainable-graph-reasoning 1,928
5 AIX360 1,502
6 trulens 1,467
7 DALEX 1,313
8 imodels 1,274
9 DiCE 1,252
10 responsible-ai-toolbox 1,175
11 OmniXAI 792
12 xplique 550
13 tf-keras-vis 303
14 CARLA 262
15 explainable-cnn 211
16 shapley 207
17 awesome-shapley-value 127
18 Deep_XF 110
19 TalkToModel 103
20 sagemaker-explaining-credit-decisions 93
21 SegGradCAM 93
22 xplainable 50
23 cnn-raccoon 31
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com