- Milledgeville, GA
- https://apryor6.github.io/
- in/aj-pryor-ph-d-02a52b57
Stars
TypeScript workflow engine for orchestrating dependent tasks with concurrent execution, retry policies, and event emission
Breakthrough Method for Agile Ai Driven Development
Prompt chains maximize intelligence and results when using LLMs
This is a repo with links to everything you'd ever want to learn about data engineering
A docker image `FROM google/cloud-sdk:alpine` that `gcloud beta emulators pubsub start`
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask
Adds concurrent.futures support to Flask
Parsing, analyzing, and comparing source code across many languages
Carefully curated list of awesome Jamstack resources
A command-line search utility for Python ASTs using XPath syntax.
Pure bash script to test and wait on the availability of a TCP host and port
philferriere / cocoapi
Forked from cocodataset/cocoapiClone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A lightweight library for converting complex objects to and from simple Python datatypes.
Local continuous test runner with pytest and watchdog.
Implements JWK,JWS,JWE specifications using python-cryptography
MULTEM is a powerful and advanced collection of C++ routines with CUDA support, designed to perform efficient and accurate multislice simulations for various TEM experiments such as HRTEM, STEM, IS…
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
C++/CUDA package for parallelized simulation of image formation in Scanning Transmission Electron Microscopy (STEM) using the PRISM and multislice algorithms
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5





