📘 The MLOps stack component for experiment tracking
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Updated
Jul 18, 2024 - Python
📘 The MLOps stack component for experiment tracking
📈 Tools for applying automatic error detection schemes to timeseries
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
A webpage that compares many files with a settable percentage yield. The application will provide highlighted visuals of differences across files.
A CLI that utilizes VapourSynth to generator frame accurate comparison images (mirror)
Salary analysis of data science and cyber security employees from 2020 to 2023
This script is designed to extract, compare, and report differences between two themes contained in zip files. It compares the files within the themes and generates a detailed report of any missing, added, or modified files.
DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.
Compare ncdu export files and show difference to find what took most space since previous measurement
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
Easily compare/benchmark optimizers on a custom or common objective.
Trajectopy - Trajectory Evaluation in Python
Speed comparison between programming languages
This project includes a python script that creates graphs by reading data from CSV files of models trained with YOLO.
Trajectopy - Trajectory Evaluation in Python
Core compsec example implementation (in Python) - other languages can be used.
JtlReporter is an online application that allows users to generate beautiful, customizable and easy to understand performance reports from JMeter(Taurus), Locust, and other tools.
This Python script is designed to help developers and designers compare two versions of a WordPress theme. It identifies differences in files, including missing, added, and modified files, and provides a detailed report on the changes. This tool is invaluable for debugging, collaboration, and understanding changes between theme updates.
The comparison of the performance of different machine learning methods for computer security problems
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