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Top 20 Python explainable-ai Projects
MindsDB connects AI models to databases.Project mention: AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex | dev.to | 2023-09-18
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDF’s, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Framework agnostic sliced/tiled inference + interactive ui + error analysis plotsProject mention: Small-Object Detection using YOLOv8 | /r/computervision | 2023-08-15
Hi All, I am trying to detect defects in the images using YOLOv8where some of the classes (defectType1, defectType2) have very small bounding boxes and some of them have large bounding boxes associated with the, (defectType3, defectType4). Also, real-time operation is desired (at least 5Hz on Jetson Xavier) What I have done till now: I am primarily trying to use the SAHI technique (Slicing Aided Hyper Inference)
Interpretability and explainability of data and machine learning modelsProject mention: [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? | /r/MachineLearning | 2022-10-28
🐢 The testing framework for ML models, from tabular to LLMsProject mention: The testing framework dedicated to ML models, from tabular to LLMs | news.ycombinator.com | 2023-06-22
moDel Agnostic Language for Exploration and eXplanation
Generate Diverse Counterfactual Explanations for any machine learning model.Project mention: [D] Have researchers given up on traditional machine learning methods? | /r/MachineLearning | 2023-01-31
- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
Explainability for Vision TransformersProject mention: [D] Off-the-shelf image saliency scoring models? | /r/MachineLearning | 2023-04-17
Fast SHAP value computation for interpreting tree-based models
Neural network visualization toolkit for tf.keras
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Interpretability for sequence generation models 🐛 🔍Project mention: [R] [P] Inseq: An Interpretability Toolkit for Sequence Generation Models | /r/MachineLearning | 2023-03-02
Found relevant code at https://github.com/inseq-team/inseq + all code implementations here
Amazon SageMaker Solution for explaining credit decisions.
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation FrameworkProject mention: TorchPRISM: Convolutional Neural Network Visualisation and Explanation Framework | /r/deeplearning | 2022-12-04
Python library for Modzy Machine Learning Operations (MLOps) Platform (by modzy)
Genetic programming method for explaining complex black-box models
Xi methodProject mention: [P] I created a package implementing a SOTA technique for XAI ( Explainable AI) | /r/MachineLearning | 2023-09-03
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
Python explainable-ai related posts
AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
3 projects | dev.to | 18 Sep 2023
Using Large Language Models inside your database with MindsDB
1 project | dev.to | 14 Aug 2023
MindsDB AI Database
1 project | news.ycombinator.com | 28 Jul 2023
How to Make a Gmail Bot with a persona using OpenAI GPT and MindsDB
1 project | dev.to | 2 May 2023
GitHub - mindsdb/mindsdb: A low-code Machine Learning platform to help developers build #AI solutions
1 project | /r/programming | 2 Apr 2023
1 project | news.ycombinator.com | 9 Mar 2023
[R] [P] Inseq: An Interpretability Toolkit for Sequence Generation Models
1 project | /r/MachineLearning | 2 Mar 2023
A note from our sponsor - Revelo Payroll
try.revelo.com | 2 Oct 2023
What are some of the best open-source explainable-ai projects in Python? This list will help you: