MahtabSarvmaili's Stars
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
mims-harvard/GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
evison/gnn_cff
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
dair-ai/pytorch_notebooks
🔥 A collection of PyTorch notebooks for learning and practicing deep learning
bobby-he/Neural_Tangent_Kernel
peterbhase/InterpretableNLP-ACL2020
Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"