Renat Sergazinov (mrsergazinov)

mrsergazinov

Geek Repo

Company:Texas A&M University

Location:College Station, TX

Home Page:https://mrsergazinov.github.io/

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Renat Sergazinov's repositories

gluformer

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

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latent_ode_cgm

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

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particle-force-cnn

Reconstruction of forces from images of photoelastic particles

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cartcpp

Implementation of CART and Random Forest in C++

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mrsergazinov.github.io

Personal website

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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

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covdepGE

A covariate-dependent approach to Gaussian graphical modeling in R

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ETDataset

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

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hierarchical-bayes-centering

Exploration of centering issues in the hierarchical Bayes models

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Informer2020

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

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keras-mmoe

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

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LLaVA

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

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makemore

An autoregressive character-level language model for making more things

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ml_tutor

Machine Learning Tutor Python library

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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

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NVAE

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

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pytorch-forecast-test

Testing pytorch forecast on glucose data

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r_jive

Implementation of AJIVE in R

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tft

Clone of tft of google research

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Time-Series-Library

A Library for Advanced Deep Time Series Models.

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Transformer_Timeseries

Pytorch code for Google's Temporal Fusion Transformer

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