mrsergazinov Goto Github PK

cartcpp

Implementation of CART and Random Forest in C++

ccnf

covdepge

A covariate-dependent approach to Gaussian graphical modeling in R

covdepge_mod

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

gluformer

The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."

hierarchical-bayes-centering

Exploration of centering issues in the hierarchical Bayes models

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

latent_ode_cgm

Implementation of the Latent ODE (https://github.com/YuliaRubanova/latent_ode) for continuous glucose monitor (CGM) data.

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

makemore

An autoregressive character-level language model for making more things

ml_tutor

Machine Learning Tutor Python library

mrsergazinov

mrsergazinov.github.io

Personal website

multi-output-glucose-forecasting

The code used for the paper Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories published in KDD 2018

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

particle-force-cnn

Reconstruction of forces from images of photoelastic particles

pytorch-forecast-test

Testing pytorch forecast on glucose data

r_jive

Implementation of AJIVE in R

rcpp-modules-bank-account

Rcpp: Export a C++ Class into R using Rcpp Modules. Example given by constructing a bank account class and exporting it into R

rcppmodulesextended

scan-mnist

stat693-group1-wavelets

tft

Clone of tft of google research

time-series-library

A Library for Advanced Deep Time Series Models.

transformer_timeseries

Pytorch code for Google's Temporal Fusion Transformer