hdocmsu Goto Github PK

hdocmsu.github.io

Hung Do's Personal Homepage

hdocmsu1.github.io

highres-net

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

hyperrim

hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

icevision

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

introduction-to-conda-for-data-scientists

Introduction to Conda for (Data) Scientists

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

invfool

Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"

irkernel

R kernel for Jupyter

jabstb

Statistical design and analysis of experiments with R

jhu-ds2-course3

Final project for JHU course #3

jill

Command line installer of the Julia Language.

julia

The Julia Language: A fresh approach to technical computing.

julia-dataframes-tutorial

A tutorial on Julia DataFrames package

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

juliacon2020-dataframes-tutorial

juliacon2020files

JuliaCon 2020 notebooks for the tutorial: Make your Julia code faster and compatible with non-Julia code

jupyter-book

Create beautiful, publication-quality books and documents from computational content.

jupyter-splitview

Making before/after image sliders in JupyterLab

jupytercon-2020-talk

Repository of materials for my JupyterCon 2020 talk

kaggle_rsna_2nd_place_solution

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning for humans

knockknock

🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code

komamri.jl

Koma is a framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

kornia

Open Source Differentiable Computer Vision Library for PyTorch

labs

Rmd source files for the HarvardX series PH525x