This is a simple package wrapping py3dmol for a single command visualization of a RDKit molecule and its conformations (embed as Conformer objects in the Molecule)
pip install molconfviewer
from molconfviewer import MolConfViewer
mol_conf_viewer = MolConfViewer()
mol_conf_viewer.view(mol=mol) # where mol is a rdkit mol
See the MolConfViewer object code to customize the visualization. For more possibilities, please check py3dmol and 3dmol.js.
Contrastive Explanation (Foil Trees) Contrastive and counterfactual explanations for machine learning (ML) Marcel Robeer (2018-2020), TNO/Utrecht Univ
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======== FairML: Auditing Black-Box Predictive Models FairML is a python toolbox auditing the machine learning models for bias. Description Predictive
Soft-Decision-Tree Soft-Decision-Tree is the pytorch implementation of Distilling a Neural Network Into a Soft Decision Tree, paper recently published
A collection of research papers and software related to explainability in graph machine learning.
Delve is a Python package for analyzing the inference dynamics of your PyTorch model.
Lucid Lucid is a collection of infrastructure and tools for research in neural network interpretability. We're not currently supporting tensorflow 2!
Lucent PyTorch + Lucid = Lucent The wonderful Lucid library adapted for the wonderful PyTorch! Lucent is not affiliated with Lucid or OpenAI's Clarity
👋🦊 Xplique is a Python toolkit dedicated to explainability, currently based on Tensorflow.
Automatic neural network visualizations generated in your browser!
Cockpit is a visual and statistical debugger specifically designed for deep learning!
CapsNet-Visualization For more information on capsule networks check out my Medium articles here and here. Setup Use pip to install the required pytho
Dream-Creator This project aims to simplify the process of creating a custom DeepDream model by using pretrained GoogleNet models and custom image dat
AuralisationCNN This repo is for an example of auralisastion of CNNs that is demonstrated on ISMIR 2015. Files auralise.py: includes all required func
dtreeviz : Decision Tree Visualization Description A python library for decision tree visualization and model interpretation. Currently supports sciki
QVC Optimizer Review Code for the paper "An Empirical Review of Optimization Techniques for Quantum Variational Circuits". Each of the python files ca
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Comprehensive collection of Pixel Attribution methods for Computer Vision.
🤪 TensorFlowTTS provides real-time state-of-the-art speech synthesis architectures such as Tacotron-2, Melgan, Multiband-Melgan, FastSpeech, FastSpeech2 based-on TensorFlow 2. With Tensorflow 2, we c
Logging MXNet Data for Visualization in TensorBoard Overview MXBoard provides a set of APIs for logging MXNet data for visualization in TensorBoard. T
Summary Explorer is a tool to visually explore the state-of-the-art in text summarization.
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