NguyenS (he/him)'s Projects
š Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Gas Chromatography analyzer
How to improve your diet and save your money with Python - EuroPython 2016
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A Model Predictive Controller algorithm for load shifting in a district heat network to match local renewables
This is learning repos to practice apache-airflow
Predictive Maintenance using Pyspark
Tabular Deep Learning Library for PyTorch
Reaktoro's documentation using Jupyter Book
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
Materials for blogs and conferences
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
The dataset, code, and software for the paper 'Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network'
Reinforcement Learning for Solving the Vehicle Routing Problem
A work in progress to build out solutions in Rust for MLOPs
A good starting point for a new Rust project
Config files for my GitHub profile.
Conversion between PFDs/P&IDs and SFILES 2.0 strings
Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
Collection of notebooks for use with SingleStoreDB
My clone repository
This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2021).
Deploy the DialoGPT chatbot to your local machine or to the cloud using Flask and Docker
Train and deploy stock predictor
Rust bindings for the C++ api of PyTorch.
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies by Juniper Lovato, Philip Mueller, Parisa Suchdev, and Peter Dodds. More info can be found on our ArXiv Preprint [link coming soon]
deeplearningai course on courser