Search Results for "npp-compare" - Page 4
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Showing 129 open source projects for "npp-compare"
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Rdbtools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
Rdbtools is a parser for Redis' dump.rdb files. The parser generates events similar to an XML sax parser and is very efficient memory-wise. Rdbtools is written in Python, though there are similar projects in other languages. Every run of RDB Tool requires to specify a command to indicate what should be done with the parsed RDB data. Valid commands are JSON, diff, justkeys, justkeyvals and protocol. The JSON command output is UTF-8 encoded JSON. By default, the callback try to parse RDB data... -
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
PerfKitBenchmarker is an open-source benchmarking framework designed to measure and compare the performance of cloud infrastructure across multiple providers in a consistent and reproducible way. It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile for performance analysis. ... -
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Tensor2Tensor
Library of deep learning models and datasets
...However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now deprecated, we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. -
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FuzzyWuzzy
Fuzzy string matching in Python
We’ve made it our mission to pull in event tickets from every corner of the internet, showing you them all on the same screen so you can compare them and get to your game/concert/show as quickly as possible. Of course, a big problem with most corners of the internet is labeling. One of our most consistently frustrating issues is trying to figure out whether two ticket listings are for the same real-life event (that is, without enlisting the help of our army of interns). -
Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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TensorWatch
Debugging, monitoring and visualization for Python Machine Learning
...TensorWatch supports multiple chart types and can be extended with custom visualizers and dashboards, making it highly adaptable for research workflows. Overall, the project acts as a powerful observability layer for ML experimentation, helping practitioners diagnose model behavior and compare runs more efficiently. -
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Baselines
High-quality implementations of reinforcement learning algorithms
...Historically, “baselines” repositories are often used for baseline implementations of reinforcement learning algorithms or reference models (e.g. in the RL domain). If there was an OpenAI “baselines” repo, it might have contained reference implementations for reinforcement learning or model policy baselines to compare new work against. However, I couldn’t locate an active “openai/baselines” in the latest OpenAI repos, so it may have been archived, removed, or merged into other projects. If you meant a different “baselines” (e.g. OpenAI Baselines for reinforcement learning), I can look up that specific one. -
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InferSent
InferSent sentence embeddings
...InferSent helped popularize the idea that supervised objectives (like NLI) can yield strong general-purpose sentence encoders, and it remains a reliable baseline against which to compare newer models. -
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diffdmp
semantically compare two text files
compare two text files (typically two versions of a text) using the diff-match-patch library, with semantic cleanup. produce an ordered list of additions, removals and identical text sections which allows for clear presentation of the differences, as well as recreating each of the texts. launch from command prompt without any arguments for usage instructions. -
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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
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TensorImage
Image classification library for easily training and deploying models
(Visit our github repository at https://github.com/TensorImage/tensorimage for more information) TensorImage is and open source package for image classification. It has a wide range of data augmentation operations that can be performed over training data to prevent overfitting and increase testing accuracy. TensorImage is easy to use and manage as all files, trained models and data are organized within a workspace directory, which you can change at any time in the configuration file,... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
LearningToCompare_FSL is a PyTorch implementation of the “Learning to Compare: Relation Network for Few-Shot Learning” paper, focusing on the few-shot learning experiments described in that work. The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. -
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Deep Reinforcement Learning TensorFlow
TensorFlow implementation of Deep Reinforcement Learning papers
Deep Reinforcement Learning TensorFlow is a comprehensive TensorFlow codebase that implements several foundational deep reinforcement learning algorithms for educational and experimental use. The repository focuses on clarity and modularity so users can study how different RL approaches are built and compare their behavior across environments. It includes implementations of well-known algorithms such as Deep Q-Networks (DQN), policy gradients, and related variants, demonstrating how neural networks can be trained through interaction with simulated environments. The project is commonly used by learners who want to move beyond theory and understand the practical mechanics of training RL agents. ... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
...Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. The design supports both single-variable and high-dimensional problems, and includes tools for evaluating how well a learned optimizer performs on unseen tasks. -
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked passwords is performed. ... -
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Algorithms in Python
Data Structures and Algorithms in Python
...Because it’s openly maintained, you can browse through issues, see test cases, and observe coding style in a “learning through code” fashion. It also serves as a playground where you can add problems, measure performance, and compare different algorithmic approaches. For anyone striving to move from “I know the syntax” to “I know how to use the right algorithm at the right time,” this repository is a practical asset. -
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GPSFileViewer
Application to browse and visualize your GPS files
... * Quickly navigate your GPS files using embedded file/track/metadata browser * Works with gpx, kml, and csv files * Show overview map of all tracks in directory * Filter tracks in browser based on metadata, location, and path * Color code track overview based on metadata, e.g., overall distance, start time * Simultaneously view one or more tracks on map while graphing detailed metadata (e.g., speed, elevation, hill gradient) * Quickly determine distance and duration for portions of tracks by mousing or dragging in the graph. Use this to see exactly how different routes compare in time and distance Written in WxPython+Matplotlib. Windows executable available; Mac and Linux can be run via script. -
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DirDiff
Python 2.7 script, analyzing 2 directories for differences.HTML output
Comparing two different versions of a directory with text files of any kind has never been easier. Detects deleted files, new files, files with changed name but same content and of course a side-by-side / line-by-line comparison of changed files. Number of context-lines is configurable. Here's, how to call it: >python DirDiff.py dir1 dir2 output.html or >python.exe DirDiff.py -l 3 -v olddir newdir dirdiff.html -l is the number of context lines in the side-by-side comparison. -v... -
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QCyclingPower
Obtain your cycling power
QCyclingPower is a usefull tool that allow you to calculate your cycling power using GPS Tracks (GPX/KML). You'll be able to compare different tracks. Today the tool cannot be used. Go on wiki page for more detailed state of the project. No time line defined by the way. I'm not crazy. -
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LightProfiler
Profiler for Oracle extended SQL trace files
LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor... -
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HuaweiConfigurationManager
Improve the efficiency of R&D engineers
This is old project please refer to https://sourceforge.net/projects/emaossmanager/ Improve the efficiency of R&D engineers Parsers BSC&RNC MML Scripts BSC&RNC Alarms logs BSC&RNC Operation logs ENODEB XML Configuration ENODEB SON Log BSC&RNC&NODEB&ENODEB License NODEB&ENODEB Inventory M2000 Alarm logs M2000 OpLog logs M2000 CME NBI R915 M2000 EAM configuration ASSET Cell export file Tools & Analyzers Command View Device GUI BSC&RNC View Compare Manager SQL Connection View Template Handle Switch View MML Redirection Reader Fault Diagnosis SON Dashboard Operation log Analysis NodeB XML2MML MML Discrepancy Geo-data Manager KMZ Generator SQL Expert MapInfo Export Backup Manager Export Manager Aircom Asset Northbound Interface -
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M0Droid
A malware detection technique
...The code is written with Python 2.7 and require Android SDK to launch virtual Android device and communicate with it. This program uses correlation coefficient to compare the signature of the app with the dataset (blacklist). -
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pyll
Set of scripts to help on package deploy on WebMethods Integration Srv
Pyll can be described by a set of tools developed to help on package deployment on a growing environment of 20+ Integration Servers. Actually pyll can deploy over than 100+ packages for 20+ Integration servers under 2/3 hours ( update mode ). Pyll works for WebMethods Integration Server version 7.x and 8.x. -
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SnowMicroPyn
Python based reader for SnowMicroPen® .pnt measurements
SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. The SMP is the first high-resolution snow penetrometer. It is... -
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Domain Analyzer Security Tool
Finds all the security information for a given domain name
Domain analyzer is a security analysis tool which automatically discovers and reports information about the given domain. Its main purpose is to analyze domains in an unattended way. -
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mod DNA-Based Installer (modDNA)
An attempt to speed up installing large mod configs such as S.T.E.P.
Mod Organizer (MO) provides a very solid way of installing mods. Skyrim Total Enhancement Project (S.T.E.P.) provides a very good collection of mods. Still, installing large collections (such as S.T.E.P.) takes many hours, mostly of menial and error-prone keypressing and mouseclicking, The aim of modDNA is to eventually speed it up to the point of "download 'DNA' developed by guru", then "download files necessary to reconstruct this DNA" (with modDNA providing hints for download), and...
