Research Tools: code, datasets, & models

This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by…

Source code of BindVAE paper on Variational Auto Encoders for learning binding signatures of transcription factors. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02723-w

This repository contains the baseline code for the paper published in NAACL 2022: “WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding”. Detailed description about the data sets and methods can be manuscript…

This repository contains pretraining pipeline of sequence-to-sequence language models.

The GitHub repository includes instructions to build and deploy a video analytics service tailored for operator’s infrastructure using Kubernetes in the Azure public MEC and Azure IoT Edge, and video ML containers like NVIDIA Triton…

This repo contains required files for the INTERSPEECH 2022 Audio Deep Packet Loss Concealment (PLC) Challenge.

We have created AECMOS for evaluating clips with regards to echo ratings and other degradations ratings. There are two ways for you to use AECMOS: a web API and an onnx version of the AECMOS…

Toxic language detection systems often falsely flag text that contains minority group mentions as toxic, as those groups are often the targets of online hate. Such over-reliance on spurious correlations also causes systems to struggle…

We introduce our full experimental data as Hybrid Hiring, a large-scale dataset for studying human AI decision-making that is collected and evaluated on real-world candidates. Comprised of 38,400 human judgements and over 9,600 unique prediction…

Find and fix bugs in natural language machine learning models using adaptive testing.