magi-1 / bonsai
Gradient Boosted Trees + Bayesian Optimization
☆25Updated 3 years ago
Alternatives and similar repositories for bonsai:
Users that are interested in bonsai are comparing it to the libraries listed below
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆88Updated 2 years ago
- Experiment orchestration☆103Updated 4 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Vectorizers for a range of different data types☆101Updated 2 months ago
- Repo for open sourcing the NAMs.☆25Updated 4 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Data Twinning☆24Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated last year
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated this week
- 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
- Pipeline components that support partial_fit.☆46Updated 9 months ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆205Updated 3 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆71Updated 5 years ago
- ☆27Updated 2 years ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Explaining dimensionality results using SHAP values☆54Updated 3 months ago
- Automatically upload the model saved as W&B Artifact to Kaggle Dataset.☆23Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 2 years ago
- ☆30Updated 3 years ago
- The fast.ai data ethics course☆16Updated 2 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)☆33Updated 4 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago