magi-1 / bonsaiLinks
Gradient Boosted Trees + Bayesian Optimization
☆24Updated 4 years ago
Alternatives and similar repositories for bonsai
Users that are interested in bonsai are comparing it to the libraries listed below
Sorting:
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Data Twinning☆25Updated 2 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆87Updated 3 years ago
- A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs.…☆75Updated 4 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆20Updated 4 years ago
- Batch shap calculations.☆31Updated 2 years ago
- Advanced random forest methods in Python☆58Updated last year
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 4 months ago
- ☆30Updated 3 years ago
- Neural networks in pandas☆51Updated 3 years ago
- Vectorizers for a range of different data types☆102Updated 7 months ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆88Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Multivariate Boosted TRee☆63Updated 2 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆218Updated 4 years ago
- ☆14Updated 5 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Functional deep learning☆108Updated 2 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆108Updated last year
- Research repo for code that may or may not end up in fastai3☆50Updated 4 years ago
- The fast.ai data ethics course☆17Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 2 months ago
- Experiment orchestration☆102Updated 5 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago