A Pattern Recognition library and pipeline builder
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Updated
Sep 9, 2018 - Julia
A Pattern Recognition library and pipeline builder
This repository contains Materials for Non-Parametric Inference
This application is intended to keep track of time records and export them to SAP. It is an improvement to the HourRegistration application
The library that can be used for multiple (Ord a) => a -> b transformations
Personal note and jottings on my cloud leanings.
A swiss army tool 🧰 for a developer 👨🏻💻
python code using pyXsteam to display steam cycle plots and calculate cycle efficiency of Rankine superheat cycle with no, open or closed feed water heaters.
Every time we have to dig around for a document we can’t find or have to do unnecessary clicks to access a folder. So this Files Organizer helps us to organize system files and boosts efficiency and productivity.
Analyzing sorting algorithms efficiency using a not fast language. Sorry, Python.
A simple clipboard manager running on your manubar. It keeps your copy history and allows you to access them back.
We have tested on E-Commerce Website by Selenium. There are some quality attributes that are very important to ensure the quality of a software. We will use selenium because of Automation testing. Our quality control engineer will conduct this testing part. First, we will do manual testing.
TP III : Algorithmique et Python
MLU is a modular ML toolkit resembling lodash, streamlining from data prep to deployment with chainable utility functions. It enhances ML workflows, seamlessly integrates with top frameworks, and supports efficient data handling and model evaluation. Open-source, MLU welcomes contributions to foster innovation and efficiency in the ML community.
Software used to optimize the efficiency of achieving goals for individuals and teams. It will become more and more like the core logic of human-level AI but without the ghost in the shell
Official implementation of the paper "HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization"
F2 is a fast grammar based fuzzzer building on the advances made by F1 and fzero fuzzers.
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