Knowledge Base Resources
Contributed by cyberinfrastructure professionals (researchers, research computing facilitators, research software engineers and HPC system administrators), these resources are shared through the ConnectCI community platform. Add resources you find helpful!
The Carpentries
4
We teach foundational coding and data science skills to researchers worldwide.
Rust Web Server Tutorial
2
This is a beginner-friendly tutorial on how to set up your web server using Rust!
Open OnDemand
2
Open OnDemand is an easy-to-use web portal that lets students, researchers, and industry professionals use supercomputers from anywhere. It is installed on supercomputing resources at hundreds of sites. By eliminating the need for client software or command-line interface, Open OnDemand empowers users of all skill levels and significantly speeds up the time to their first computing.
An Introduction to Cryptography with Python
2
This comprehensive workshop is designed to guide participants through the world of cryptography, from foundational concepts to advanced implementations. Starting with the basics of encryption, decryption, and hashing, the workshop discusses real-world applications like SSL, blockchain, and digital signatures. Interactive Python-based coding examples, such as symmetric and asymmetric encryption, will provide hands-on experience. Participants will also learn to identify cryptographic vulnerabilities and perform attacks like length extension. Finally, the workshop also explores future trends such as quantum cryptography and zero-knowledge proofs, providing participants with the knowledge to apply cryptography in securing modern digital systems. Ideal for beginners and intermediate learners alike, this workshop is a step-by-step journey into mastering cryptographic principles and practices.
Introduction to Python for Digital Humanities and Computational Research
1
This documentation contains introductory material on Python Programming for Digital Humanities and Computational Research. This can be a go-to material for a beginner trying to learn Python programming and for anyone wanting a Python refresher.
Useful R Packages for Data Science and Statistics
1
This Udacity article listed the most frequently used R packages for data science and statistics. For each package, the article provided the link to its official documentation. It will be a great start point if you want to start your data science journey in R.
PyTorch for Deep Learning and Natural Language Processing
1
PyTorch is a Python library that supports accelerated GPU processing for Machine Learning and Deep Learning. In this tutorial, I will teach the basics of PyTorch from scratch. I will then explore how to use it for some ML projects such as Neural Networks, Multi-layer perceptrons (MLPs), Sentiment analysis with RNN, and Image Classification with CNN.
GIS: Geocoding Services
1
Geocoding is the process of taking a street address and converting it into coordinates that can be plotted on a map. This conversion typically requires an API call to a remote server hosted by an organization/institution. The remote server will take the address attributes provided by you and the remote server will compare it to the data it contains and return a best estimate on the coordinates for that location.
There are many geocoding services available with different world coverages, quality of result, and set different rate limits for access. For R, a package called "tidygeocoder" provides an easy way to connect to these different services. As an additional benefit, their documentation provides a good summary of geocoding services available and links to their documentation. The link to the documentation for gecoding services accessible by "tidygeocoder" is provided below.
For Python, geopy package is a library that provides connection to various geocoding services. The link to the documentation for this package is also included below.
Open OnDemand Documentation Repository
1
This is the main documentation repo for the Open OnDemand Portal which enables researchers to access HPC resources from a familiar web interface.
ACCESS Pegasus Documentation
1
The documentation provides an overview of using Pegasus, a workflow management system, on ACCESS resources for high throughput computing (HTC) workloads, covering logging in, workflow creation, resource configuration, and monitoring options.
HPC Carpentry
1
An HPC focused Carpentry community. Trainings include: HPC fundamentals, python, chapel, LAMMPS, parallelization with python, scaling studies, etc.
Data Visualization tools for Python
1
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It makes analyzing and presenting your data extremely easy and works with Python which many people already know.
DARWIN Documentation Pages
1
DARWIN (Delaware Advanced Research Workforce and Innovation Network) is a big data and high performance computing system designed to catalyze Delaware research and education
Representation Learning in Deep Learning
0
Representation learning is a fundamental concept in machine learning and artificial intelligence, particularly in the field of deep learning. At its core, representation learning involves the process of transforming raw data into a form that is more suitable for a specific task or learning objective. This transformation aims to extract meaningful and informative features or representations from the data, which can then be used for various tasks like classification, clustering, regression, and more.
PyTorch Introduction
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This is a very barebones introduction to the PyTorch framework used to implement machine learning. This tutorial implements a feed-forward neural network and is taught completely asynchronously through Stanford University. A good start after learning the theory behind feed-forward neural networks.
How to Build a Great Relationship with a Mentor
0
Emphasizes benefits of being mentored. Describes how to identify and choose a mentor. Suggests a path forward. Not mentor or two-way focused.
Official Documentation for PyTorch and NumPy
0
The official documentation for PyTorch, a machine learning tensor-based framework, and NumPy, which allows for support for ndarrays which is useful to make tensors when implementing NNs. Both libraries can be installed with pip.
fast.ai
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Fastai offers many tools to people working with machine learning and artifical intelligence including tutorials on PyTorch in addition to their own library built on PyTorch, news articles, and other resources to dive into this realm.
Jetstream2 Docs Site
0
Jetstream2 makes cutting-edge high-performance computing and software easy to use for your research regardless of your project’s scale—even if you have limited experience with supercomputing systems.Cloud-based and on-demand, the 24/7 system includes discipline-specific apps. You can even create virtual machines that look and feel like your lab workstation or home machine, with thousands of times the computing power.
Open Storage Network
0
The Open Storage Network, a national resource available through the XSEDE resource allocation system, is high quality, sustainable, distributed storage cloud for the research community.
Resource to active inference
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Active inference is an emerging study field in machine learning and computational neuroscience. This website in particular introduces "active inference institute", which has established a couple of years ago, and contains a wide variety of resources for understanding the theory of active inference and for participating a worldwide active inference community.
Online Bachelor's in Data Science Program Guide - TechGuide
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The realm of data science is one that onlookers regard with curiosity and respect. There are a lot of unknowns in this area of study that only recently became hugely relevant. It is important to get the facts on how expertise in data science is transforming the world. This article features what a bachelor’s degree means in today’s market and the future.
EasyBuild Documentation
0
EasyBuild is a software installation framework that allows administrators to easily build and install software on high-performance computing (HPC) systems. It supports a wide range of software packages, toolchains, and compilers.
Supported software are found in the EasyConfigs repository, one of several resositories in EasyBuild project.
Fairness and Machine Learning
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The "Fairness and Machine Learning" book offers a rigorous exploration of fairness in ML and is suitable for researchers, practitioners, and anyone interested in understanding the complexities and implications of fairness in machine learning.
Discover Data Science
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Discover Data Science is all about making connections between prospective students and educational opportunities in an exciting new, hot, and growing field – data science.