A course on explainable AI with Python
☆40Mar 15, 2024Updated 2 years ago
Alternatives and similar repositories for XAI-tutorial
Users that are interested in XAI-tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the mod…☆11May 8, 2025Updated last year
- Explain XGBoost models with the Hoeffding functional decomposition.☆16Updated this week
- ☆14Feb 15, 2021Updated 5 years ago
- Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection☆18Aug 11, 2025Updated last year
- Python wrapper for ONLP YAP https://github.com/OnlpLab/yap☆16Jan 27, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Hebrew Universal Dependencies Treebank☆14May 6, 2026Updated 5 months ago
- Syntactic evaluation sets, attribute-varying grammars, and code for replicating the CLAMS paper. ACL 2020.☆18Nov 26, 2024Updated last year
- ☆12May 27, 2024Updated 2 years ago
- Official implementation of the paper "BRUCE: Bundle Recommendation Using Contextualized item Embeddings"☆16Sep 1, 2022Updated 4 years ago
- Python client for the API☆15Dec 8, 2022Updated 3 years ago
- A collection of Open Source Contributions in Learning from Imbalanced and Overlapped Data☆22Dec 30, 2021Updated 4 years ago
- Code repository for the book Feature engineering with Feature-engine☆15Apr 27, 2024Updated 2 years ago
- Ariel university C++ course, year 5779☆15Aug 10, 2020Updated 6 years ago
- Using SHAP values as feature selection mechanism☆21May 15, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Automatic Differentiation for Gradient Boosted Decision Trees.☆13May 17, 2022Updated 4 years ago
- Training HuggingFace models using fastai☆11Jul 22, 2021Updated 5 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making …☆13Sep 26, 2025Updated last year
- Minimum Viable Dataspace on AWS☆11Aug 5, 2026Updated 2 months ago
- A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles☆12Aug 30, 2023Updated 3 years ago
- A trading algorithm utilizing a Naive Bayes classifier to predict expected returns, GARCH (1,1) volatility forecasting, and the Markowitz…☆10Dec 22, 2017Updated 8 years ago
- ☆32May 1, 2024Updated 2 years ago
- The Westermo test system performance data set☆12Nov 24, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ArXiv Sanidade é uma aplicação web que ajuda os usuários a descobrir e salvar artigos relevantes do arXiv usando machine learning. Ele u…☆16Sep 27, 2024Updated 2 years ago
- Personal website & knowledge base☆14Sep 11, 2026Updated last month
- Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neu…☆12Apr 24, 2026Updated 5 months ago
- Repository containing the code of the projects presented in my personal website.☆48Updated this week
- A useful tool for visualizing and analyzing where our models weaknesses are☆13Aug 15, 2019Updated 7 years ago
- The code for Isolation Mondrian (iMondrian) forest for batch and online anomaly detection☆10Feb 24, 2021Updated 5 years ago
- Code implementations of my studies on the book Advances in Financial Machine Learning☆12May 18, 2020Updated 6 years ago
- Exploring some issues related to churn☆17Mar 19, 2024Updated 2 years ago
- Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.☆16Sep 10, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python Implementation of the CME FedWatch Tool for Estimating Probabilities of Federal Funds Rate Changes at Upcoming FOMC Meetings.☆12Sep 20, 2023Updated 3 years ago
- A clean, modular implementation of the Proximal Policy Optimization (PPO) algorithm in PyTorch, written with a strong focus on readabilit…☆20Jun 23, 2026Updated 3 months ago
- Natural Language Processing☆28Mar 5, 2024Updated 2 years ago
- Zipline-Live, a Pythonic Algorithmic Trading Library☆10May 1, 2023Updated 3 years ago
- Predict scalar coupling in molecules☆15Mar 14, 2021Updated 5 years ago
- A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio☆11Oct 8, 2019Updated 7 years ago
- A notebook walking through how to use Keras RL to solve Atari environments.☆27Dec 30, 2020Updated 5 years ago