101 Open source projects that are alternatives of or similar to partial_dependence

Contextual bandit benchmarking

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

Pythonic cookiecutter template for a Python package. See https://github.com/audreyr/cookiecutter.

⬛ Python Individual Conditional Expectation Plot Toolbox

Application programming interface of the Cuba Weather project implemented in Python

Model interpretability and understanding for PyTorch

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Layer-wise Relevance Propagation (LRP) for LSTMs

A Python (v3.6.5) package that provides a set of basic functions commonly used in integrated photonics.

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Easy to use template for great PyPi packages

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

XAI Tutorial for the Explainable AI track in the ALPS winter school 2021

A collection of research materials on explainable AI/ML

Concept Bottleneck Models, ICML 2020

A game theoretic approach to explain the output of any machine learning model.

geonamescache - a Python library for quick access to a subset of GeoNames data.

A curated list of awesome Fairness in AI resources

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Awesome Resources for Advanced Computer Vision Topics

A useful set of tools for Adaptive Optics in Python

A simple command line tool to get length of all the video and/or audio files in a directory and its sub-directories recursively

A collection of tools for reverse engineering neural networks.

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Alternative StdLib for Nim for Python targets, hijacks Python StdLib for Nim

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

A set of Python decorators to simplify AWS lambda development

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Boilerplate for a Python Package

T-Reqs is a multi-language requirements file generator which also serves the purpose of preparing a template Dockerfile for working with Docker applications.

A simple github automation cli

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Molecular Explanation Generator

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

NeurIPS 2018. Linear-time model comparison tests.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

A curated list of awesome machine learning interpretability resources.

Collection of NLP model explanations and accompanying analysis tools

📍 Interactive Studio for Explanatory Model Analysis

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

StellarGraph - Machine Learning on Graphs

LNURL implementation for Python.

Pytorch Implementation of recent visual attribution methods for model interpretability

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Model Agnostics breakDown plots

A script which can update gitea via crontab automatically to a new version.

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Logya is a static site generator written in Python designed to be easy to use and flexible.

Code for "Free-Lunch Saliency via Attention in Atari Agents"

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Data generator for Arena - interactive XAI dashboard

Python wrapper for tracking information about International Space Station via http://open-notify.org