Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

BART fare reduction

Sample Bixby Capsule - BART Schedule

BART JSON API using Node and Express.

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

A visualization tool for the BART API, that shows delays as 'traffic'.

The BART app for commuters, now native on iOS

An open source beautiful and powerful android app for BART

Evaluating BART and Synthetic Tree-Based Methods for the Estimation of Individual Causal Effects, final project for CM764 - Statistical Learning - Function Estimation at uWaterloo

Shiny app for displaying BART hourly origin-destination data.

Using vanilla JavaScript, in real time, lets you track when the trains at a specified BART station are departing

Get real time departures for specified BART train stations and publish to MQTT.

An open source (free) native Android application for BART and beyond.

BART schedule app

BART (Binding Analysis for Regulation of Transcription) is a bioinformatics tool for predicting functional transcription factors (TFs) that bind at genomic cis-regulatory regions to regulate gene expression in the human or mouse genomes. Please visit here for newest introduction: http://faculty.virginia.edu/zanglab/bart

Find out when the next BART is via Slack.

Learning some Go by porting bartnodeapi to the language.

Parses San Francisco BART hourly origin-destination data into graph files.

Minimal BART client in Elixir

BART (Binding Analysis for Regulation of Transcription) is a bioinformatics tool for predicting functional transcription factors (TFs) that bind at genomic cis-regulatory regions to regulate gene expression in the human or mouse genomes. Please visit here for newest introduction: http://faculty.virginia.edu/zanglab/bart

Causal inference under multiple treatments using BART

Causal Inference using Bayesian Additive Regression Trees

Finetuning the BART model on AMI Meetings Corpus

BART API client, JSON

Bayesian Additive Regression Trees using Bayesian Model Averaging (BART-BMA)

The next BART train Estimated Time Arrival (ETA) visualizer built with React.

Learners from {dbarts} package for mlr3

safeBART is an implementation of Bayesian Additive Regression Trees using importance sampling. This combines aspects of BART-BMA (Hernandez et al. 2018) and safe-Bayesian Random Forests (Quadrianto and Ghahramani 2015).