Stars
Self-explanatory tutorials for different model-agnostic and model-specific XAI methods
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based m…
🔬 Path to a free self-taught education in Bioinformatics!
🎓 Path to a free self-taught education in Computer Science!
Pytorch Lightning code guideline for conferences
Examples of how to create colorful, annotated equations in Latex using Tikz.
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
A collection of research papers and software related to explainability in graph machine learning.
Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attribution methods for GNNs
Papers about explainability of GNNs
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A scikit-learn compatible neural network library that wraps PyTorch
MolRep: A Deep Representation Learning Library for Molecular Property Prediction
A Python 3 library for generating Anki decks
In addition to helping you memorise, this code helps you do other things that I don't remember...
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
A set of useful tools for DL experiments, project templates, etc.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
Easy TOC creation for GitHub README.md
Literature of deep learning for graphs in Chemistry and Biology
Modified chesterish Jupyter theme with larger font and Iosevka webfont
A toolbox to iNNvestigate neural networks' predictions!
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.