facet
DISCONTINUED
imodels
Our great sponsors
facet | imodels | |
---|---|---|
5 | 7 | |
471 | 1,274 | |
- | - | |
5.6 | 8.6 | |
9 months ago | 14 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
facet
We haven't tracked posts mentioning facet yet.
Tracking mentions began in Dec 2020.
imodels
-
[D] Have researchers given up on traditional machine learning methods?
- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
-
Random Forest Estimation Question
Option 2) fit a model from https://github.com/csinva/imodels on the predicted values of the RF
-
[D] Looking for open source projects to contribute
Our package imodels is expanding our sklearn-compatible set of interpretable models and always looking for new contributors!
What are some alternatives?
pycaret - An open-source, low-code machine learning library in Python
interpret - Fit interpretable models. Explain blackbox machine learning.
shap - A game theoretic approach to explain the output of any machine learning model.
docarray - Represent, send, store and search multimodal data
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
ANN-decompiler - "AI" demystified: a decompiler
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ProSelfLC-AT - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.