mneunhoe Goto Github PK

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

arf_paper

Code and materials to reproduce adversarial RF paper

barp

MRP - Multilevel + BART = BARP

be_great

A novel approach for synthesizing tabular data using pretrained large language models

birdfish

Correspondence Analysis of Twitter Text for German MPs

bootcamp007_project

Bootcamp 7 Student Project Presentation

coin-press

[NeurIPS 2020] Simple and practical private mean and covariance estimation.

ctgan

Conditional GAN for generating synthetic tabular data.

dataverse-r-study

Data and code for a large-scale study on research code quality and execution at Harvard Dataverse.

df19de

Short Tutorial on Neural Nets in Keras for DataFest 19 Germany

dp-data

A repository for preprocessing datasets to use for private synthetic data generation. Some preprocessed datasets have also been included.

dp-gan-mw

dp-medians

dp-ols

dp_bootstrap_inference

dpbootstrap

ds-wgan

Design of Simulations using WGAN

ds3_gan

ds3_ml

dswgan-paper

Replication files for "Using WGANs for the Design of Monte Carlo Simulations"

efficient-data-management

f-wgan

Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020

fe_letters

flexdashboard-highcharter-examples

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

geospatialexample

grade-bigdata

hello-world

My first project

how-to-hyperopt

iclr2021-openreviewdata

Crawl & visualize ICLR papers and reviews.