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advisor

Open-source implementation of Google Vizier for hyper parameters tuning

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

allanlab

Allan Lab website

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

awesome-beamer

Creating presentation slides by using Beamer in LaTeX.

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-latex-drawing

Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

awesome-tips

bda_course_aalto

Bayesian Data Analysis course at Aalto

codexglue

CodeXGLUE

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

conjugate-gradient

Some simple examples for showing how does conjugate gradient method work on the system of linear equations. Blog post: https://medium.com/p/7f16cbae18a3

curriculum-vitae

This is a latex template of my academic CV.

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

gnnpapers

Must-read papers on graph neural networks (GNN)

hugo-book

Hugo documentation theme as simple as plain book

iemo

This project is about interactive evolutionary multi-objective optimisation.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

kpi

This project is a new knee point identification method for posteriori decision-making.

mac-setup

Useful tips for setting up Mac OSX

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machinelearning

Machine learning resources

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ngboost

Natural Gradient Boosting for Probabilistic Prediction

notion_widgets

A set of HTML widgets that could be embedded into Notion.so https://www.notion.so/ pages. For more see https://blog.shorouk.dev/notion-widgets-gallery/