AstraZeneca / awesome-explainable-graph-reasoningLinks
A collection of research papers and software related to explainability in graph machine learning.
☆1,974Updated 3 years ago
Alternatives and similar repositories for awesome-explainable-graph-reasoning
Users that are interested in awesome-explainable-graph-reasoning are comparing it to the libraries listed below
Sorting:
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,244Updated 2 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆535Updated 2 years ago
- A collection of resources to learn about MLOPs.☆940Updated 2 years ago
- A library for graph deep learning research☆1,986Updated last year
- An autoML framework & toolkit for machine learning on graphs.☆1,118Updated last year
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,366Updated 8 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,867Updated 2 years ago
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains☆1,739Updated last year
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆640Updated last year
- Deploy a ML inference service on a budget in less than 10 lines of code.☆1,346Updated last year
- A VS Code extension pack to help users visualize, understand, and interact with data.☆572Updated 4 years ago
- Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presenta…☆1,495Updated 4 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆464Updated last year
- 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.☆3,133Updated last week
- MADGRAD Optimization Method☆804Updated 8 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,500Updated last month
- A flexible, intuitive and fast forecasting library☆1,851Updated 7 months ago
- ☆1,463Updated 3 years ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,161Updated 3 months ago
- Machine Learning Notebooks☆3,409Updated last year
- A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.☆341Updated last year
- Python library assists deep learning on graphs☆566Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,840Updated last year
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and cod…☆2,244Updated 3 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated last year
- Algorithms for explaining machine learning models☆2,559Updated last week
- A curated list of references for MLOps☆13,353Updated 10 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,206Updated last year
- A Python package to assess and improve fairness of machine learning models.☆2,123Updated 2 weeks ago
- A research library for automating experiments on Deep Graph Networks☆223Updated last month