Beast code in Giters

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Language:PythonApache-2.0568 7 93

facet

Human-explainable AI.

Language:Jupyter NotebookApache-2.0506 12 30

tabular-benchmark

Language:Python438 7 20

lppls

Library for fitting the LPPLS model to data.

Language:Jupyter NotebookMIT337 25 34

expressive-resume

A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.

Language:TeXMIT312 8 6

redframes

General Purpose Data Manipulation Library

Language:PythonBSD-2-Clause299 6 3

hopular

Hopular: Modern Hopfield Networks for Tabular Data

Language:PythonMIT299 9 6

signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

Language:C++Apache-2.0254 12 31

tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

Language:PythonMIT246 4 22

slow-momentum-fast-reversion

This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).

Language:PythonMIT219 170

humap

Hierarchical Uniform Manifold Approximation and Projection

Language:Jupyter NotebookBSD-3-Clause212 5 6

Py-Boost

Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training

Language:PythonApache-2.0152 5 10

bio_corex

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Language:PythonApache-2.0137 13 22