Broundal / PytolemaicLinks
Toolbox for analysis of model's quality and model's description. For further details see
☆11Updated last year
Alternatives and similar repositories for Pytolemaic
Users that are interested in Pytolemaic are comparing it to the libraries listed below
Sorting:
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆444Updated last year
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆738Updated this week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- Leave One Feature Out Importance☆856Updated 11 months ago
- The long missing library for python confidence intervals☆145Updated last year
- Fast SHAP value computation for interpreting tree-based models☆553Updated 2 years ago
- ☆150Updated 2 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆107Updated this week
- Doubt your data, find bad labels.☆516Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆324Updated 9 months ago
- Hopular: Modern Hopfield Networks for Tabular Data☆313Updated 3 years ago
- A general purpose recommender metrics library for fair evaluation.☆277Updated 2 years ago
- Boosted neural network for tabular data☆217Updated last year
- PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper☆25Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago
- Drift Detection for your PyTorch Models☆324Updated 3 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Updated this week
- Arguably the best missing values imputation method.☆76Updated last year
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆546Updated last year
- Natural Intelligence is still a pretty good idea.☆823Updated last year
- ☆21Updated last year
- A python-based framework for multi-target prediction☆51Updated 2 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆243Updated last month
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆184Updated this week
- ☆45Updated last month
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Updated 2 years ago