List of python packages for causal inference
☆17Oct 24, 2021Updated 4 years ago
Alternatives and similar repositories for causal-inference-python-packages
Users that are interested in causal-inference-python-packages are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Πανεπιστήριο Πειραιώς - Τμήμα Ψηφιακών Συστημάτων - ΨΣ-512 Πληροφοριακά Συστήματα - Υλικό Εργαστηρίου☆19Apr 3, 2023Updated 3 years ago
- ☆17Mar 9, 2023Updated 3 years ago
- An Incremental DBSCAN approach in Python for real-time monitoring data.☆26Dec 8, 2022Updated 3 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆25Aug 13, 2024Updated last year
- ☆15Jun 4, 2014Updated 12 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.
- Towards Automated Causal Discovery☆11Aug 20, 2024Updated last year
- How to use EconML within R☆12Nov 4, 2019Updated 6 years ago
- NuART-Py: Python Library of Adaptive Resonance Theory Neural Network☆10Jan 26, 2020Updated 6 years ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Apr 29, 2019Updated 7 years ago
- Simulations for predictive model selection in causal inference☆13Jan 16, 2025Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Oct 14, 2020Updated 5 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆14Feb 19, 2019Updated 7 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆17Feb 7, 2025Updated last year
- This repository reproduce the winning solutions of the kaggle competitio NFL Big Data Bowl 2020☆12Mar 25, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- interpret deep learning models in a framework-independent fashion☆40Sep 17, 2025Updated 10 months ago
- Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…☆19Aug 17, 2021Updated 4 years ago
- Keras network for spike detection from calcium traces☆12Jul 7, 2020Updated 6 years ago
- ☆15Feb 18, 2022Updated 4 years ago
- Bayesian Personalized Ranking in Python☆11Dec 16, 2020Updated 5 years ago
- Samples for use with MLOps☆13Jul 6, 2023Updated 3 years ago
- Demo code for testing with Pytest and Hypothesis☆14Oct 12, 2021Updated 4 years ago
- A book about munging complex spreadsheets in R with tidyxl and unpivotr☆22Nov 23, 2021Updated 4 years ago
- Portfolio of course work for my Master's in Data Science.☆13Jun 6, 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.
- Code for "Know Thyself by Knowing Others: Learning Neuron Identity from Population Context" published at NeurIPS 2025☆19Feb 3, 2026Updated 6 months ago
- ☆31Mar 13, 2026Updated 4 months ago
- Measure screen size, track viewing distance and gaze, and more!☆20Updated this week
- List of useful R packages for data scientists☆14Nov 21, 2020Updated 5 years ago
- A Python project to use as a template when developing a Python application☆26Jun 28, 2023Updated 3 years ago
- A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.☆15Nov 14, 2018Updated 7 years ago
- an ensemble usage of MAFFT-linsi --add on large datasets☆13May 31, 2024Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆805Dec 1, 2025Updated 8 months ago
- Hybrid algorithm based on SEDC and LIME for computing Evidence Counterfactuals (LIME-Counterfactual): explaining the model predictions of…☆10May 20, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆15May 16, 2018Updated 8 years ago
- Generative Forests in Python☆35Jul 6, 2023Updated 3 years ago
- Chaotic Recurrent Neural Network model☆17Oct 22, 2016Updated 9 years ago
- ☆19Sep 9, 2020Updated 5 years ago
- Code accompanying the paper "Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively…☆13May 9, 2026Updated 3 months ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- ☆15Jul 1, 2020Updated 6 years ago