alegonz / baikal
A graph-based functional API for building complex scikit-learn pipelines.
☆591Updated 2 years ago
Alternatives and similar repositories for baikal:
Users that are interested in baikal are comparing it to the libraries listed below
- Data Analysis Baseline Library☆728Updated 2 months ago
- Directions overlay for working with pandas in an analysis environment☆476Updated 2 months ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆542Updated last year
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆500Updated 5 months ago
- Dimensionality reduction in very large datasets using Siamese Networks☆332Updated 4 months ago
- Python library for building highly effective data science workflows☆948Updated last year
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆204Updated 3 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆609Updated last year
- More interactive weak supervision with FlyingSquid☆315Updated 4 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆215Updated 4 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- Deep learning with text doesn't have to be scary.☆276Updated 2 years ago
- Practical active learning in python☆189Updated 2 years ago
- HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!☆712Updated 4 years ago
- Testing framework to simplify writing ML unit tests.☆348Updated 5 years ago
- Collection of articles listing reasons why data science projects fail.☆462Updated 3 years ago
- Version control for machine learning☆1,658Updated last week
- Feature engineering and machine learning: together at last!☆24Updated 4 years ago
- Easy pipelines for pandas DataFrames.☆718Updated 3 months ago
- data⎰describe: Pythonic EDA Accelerator for Data Science☆299Updated last year
- Training deep learning models on AWS and GCP instances☆492Updated last year
- Doubt your data, find bad labels.☆508Updated 7 months ago
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 6 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- Simple and flexible progress bar for Jupyter Notebook and console☆1,089Updated 5 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- Natural Intelligence is still a pretty good idea.☆801Updated 7 months ago
- A collection of Bayesian data analysis recipes using PyMC3☆555Updated last year