tevgeniou / FoundationsMLLinks
☆12Updated 5 years ago
Alternatives and similar repositories for FoundationsML
Users that are interested in FoundationsML are comparing it to the libraries listed below
Sorting:
- Code and slides from a 2016 talk at the Cambridge UK RUG☆16Updated 8 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆23Updated last year
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆22Updated 6 years ago
- SmartML: Supervised Machine Learning Automation in R☆25Updated 4 years ago
- R package for tracking Covid19 cases in San Francisco☆12Updated 2 years ago
- Documentation for the DALEX project☆36Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 8 months ago
- Forecasting: Principles and Practice (2nd ed)☆53Updated 7 years ago
- An R package implementing the NetEMD and NetDis network comparison measures☆14Updated 3 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Data Scientist code test☆19Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Code for blog posts.☆20Updated last year
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- Introduction to Statistical Machine Learning with MicrosoftML☆20Updated 6 years ago
- GBM intro talk (with R and Python code)☆17Updated 4 years ago
- A sensitivity analysis package for causal effects☆12Updated last year
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Workshop material for the Vancouver DataJam☆21Updated 3 years ago
- ☆13Updated 3 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 7 months ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 4 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- Tutorial Apps for Learning R☆18Updated 7 years ago
- Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020☆29Updated 5 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago