layer6ai-labs

DropoutNet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

dgm-eval

Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

xpool

https://layer6ai-labs.github.io/xpool/

RecSys2018

1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge

ProxyFL

Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"

fusemix

Data-Efficient Multimodal Fusion on a Single GPU

DuETT

Code for "DuETT: Dual Event Time Transformer for Electronic Health Records"

WinIT

Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"

CMLMC

Code for the ICLR'22 paper "Improving Non-Autoregressive Translation Models Without Distillation"

tr0n

fair-dp

Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".

lfr

Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors

two_step_zoo

Codebase accompanying the paper "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"

rectangular-flows

Code for the NeurIPS'21 paper "Rectangular Flows for Manifold Learning"

hitl-conformal-prediction

Human in the Loop Conformal Prediction

UoMH

BNPO

implicit-manifolds

denoising_dgms

hgnn-dr

DropoutNet-Data

data for DropoutNet

Tabular-Class-Conditioned-SSL

dgm_manifold_survey

dgm_ood_detection

Code for the paper "A Geometric Explanation of the Likelihood OOD Detection Paradox"

DiMS

Code for the ACL'23 paper "DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation"

HiBench

HiBench is a big data benchmark suite.

tpcds-spark

tpch-spark

TPC-H queries in Apache Spark SQL using native DataFrames API

transformers-CLIPScripting

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tuneful-code