AstraZeneca / awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
☆1,950Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-explainable-graph-reasoning
- Code and resources on scalable and efficient Graph Neural Networks☆530Updated last year
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,126Updated last year
- A collection of resources to learn about MLOPs.☆930Updated last year
- Algorithms for explaining machine learning models☆2,415Updated this week
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains☆1,743Updated last year
- A Python package to assess and improve fairness of machine learning models.☆1,949Updated this week
- An autoML framework & toolkit for machine learning on graphs.☆1,089Updated 3 months ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆455Updated 4 months ago
- TensorFlow Similarity is a python package focused on making similarity learning quick and easy.☆1,013Updated 6 months ago
- A library for graph deep learning research☆1,885Updated 4 months ago
- Deploy a ML inference service on a budget in less than 10 lines of code.☆1,340Updated 9 months ago
- Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, …☆582Updated 3 weeks ago
- Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"☆406Updated 8 months ago
- 🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations☆542Updated 8 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆372Updated this week
- A flexible, intuitive and fast forecasting library☆1,814Updated 5 months ago
- 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.☆3,103Updated last month
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,400Updated 2 weeks ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,166Updated 4 months ago
- A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the …☆2,705Updated last month
- Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presenta…☆1,393Updated 3 years ago
- A research library for automating experiments on Deep Graph Networks☆218Updated 2 months ago
- This repo contains annotated research papers that I found really good and useful☆2,687Updated 3 weeks ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,365Updated 7 months ago
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆1,688Updated last week
- A VS Code extension pack to help users visualize, understand, and interact with data.☆567Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,422Updated 3 weeks ago
- Merlion: A Machine Learning Framework for Time Series Intelligence☆3,421Updated 5 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,945Updated 9 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,822Updated last year