Search Results for "text compare"
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Showing 25 open source projects for "text compare"
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1
Sweetviz
Visualize and compare datasets, target values and associations
Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic... -
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bilingual_book_maker
Make bilingual epub books Using AI translate
bilingual_book_maker is an AI-assisted translation tool for creating bilingual and multilingual versions of books and text files. It is designed to process formats such as EPUB, TXT, SRT, and PDF, then generate translated output that helps readers compare the original text with the target language. The project supports multiple AI providers and models, including OpenAI-compatible models and other translation backends through LiteLLM-style integrations. -
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Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved... -
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rate.sx
Curl cryptocurrencies exchange rates
rate.sx is a command-line-friendly cryptocurrency rate service designed to be queried with curl or a browser, returning clean text or minimal markup. It emphasizes human-readable output by default, with options for concise one-liners or richer summaries including sparkline-style ASCII charts. The service supports multiple coins, fiat conversions, and historical lookups so you can compare prices over time without leaving the terminal. Under the hood it aggregates price feeds and normalizes the results for robust querying, yet keeps the interface dead simple. ... -
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5
Lingvo
Framework for building neural networks
Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state... -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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NanoJev
A nano replica of Jev: parallel decisions, dynamic candidates
...One shared checkpoint has been tested across ViZDoom aiming tasks, maze navigation, and Snake. The repository includes datasets, configurations, research results, demonstrations, and an end-to-end training pipeline. Its experiments compare NanoJev with Jev and untuned Qwen baselines under matched tasks. The project is primarily intended for studying low-latency decision models rather than conversational text generation. -
8
jlens
Companion code for the global workspace interpretability paper
...Interactive layer-by-position views reveal how token rankings evolve across the network and compare them with the model’s final output. It supports open-weight Hugging Face decoder models, with Qwen used in the included examples. The repository also provides synthetic evaluation data and an end-to-end notebook, but it is not maintained. -
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Multimodal
TorchMultimodal is a PyTorch library
...The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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10
CompareDir
Tool to Compare 2 directories and handle the files.
Did you ever copy many files to a portable usb-harddisk and use another system to update or delete files ? And later have trouble to find the few files you changed among all the others ? CompareDir does just that: it can compare 2 directories + subdirectories and you decide what files you want to keep, copy or delete. Manual: point it at a MasterDir, a SlaveDir than click "Diff" = show only the files that are available in only 1 directory-tree. Or click "All" = show all files in both... -
11
TextDistance
Compute distance between sequences
Python library for comparing the distance between two or more sequences by many algorithms. For main algorithms, text distance try to call known external libraries (fastest first) if available (installed in your system) and possible (this implementation can compare this type of sequences). Install text distance with extras for this feature. Textdistance use benchmark results for algorithm optimization and try to call the fastest external lib first (if possible). ... -
12
Canopy
Retrieval Augmented Generation (RAG) framework
...The framework includes a built-in server and command-line interface that allow users to experiment with RAG pipelines and compare outputs between retrieval-augmented responses and standard LLM responses. -
13
PipeRider
Code review for data in dbt
PipeRider automatically compares your data to highlight the difference in impacted downstream dbt models so you can merge your Pull Requests with confidence. PipeRider can profile your dbt models and obtain information such as basic data composition, quantiles, histograms, text length, top categories, and more. PipeRider can integrate with dbt metrics and present the time-series data of metrics in the report. PipeRider generates a static HTML report each time it runs, which can be viewed locally or shared. You can compare two previously generated reports or use a single command to compare the differences between the current branch and the main branch. ... -
14
State of Open Source AI
Clarity in the current fast-paced mess of Open Source innovation
...It acts as both a snapshot and a guide: readers can see what’s “hot now” in open AI infrastructure, what open licensing or governance issues are emerging, how deployment options compare, and what gaps remain. Because the AI domain moves quickly, part of the aim is to make the content maintainable and updateable by the community. The structure includes chapters or sections about model formats, evaluation benchmarks, hardware/backends, MLOps systems, alignment and safety issues, and open datasets. The repository contains the text (in Markdown or similar), configuration for build or publishing (static site or e-book), and contributor guidelines. -
15
textacy
NLP, before and after spaCy
textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after. -
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Text Classification
All kinds of text classification models and more with deep learning
Text Classification is a deep learning repository focused on text classification models for NLP. It provides a broad set of baseline architectures that can be used to study, train, compare, and adapt classification approaches. The project supports both single-label and multi-label classification, making it useful for sentence-level and document-level tasks. -
17
Hacker Scripts
Based on a true story
Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the... -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. 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... -
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Resemblyzer
A python package to analyze and compare voices with deep learning
Resemblyzer is a Python package for analyzing and comparing voices with deep learning. It works by turning speech audio into a compact voice embedding that represents the speaker’s vocal characteristics. These embeddings can then be used for speaker similarity, clustering, diarization experiments, voice comparison, and audio dataset exploration. The project is useful for researchers and developers who need a practical way to reason about speaker identity without building a voice encoder from... -
21
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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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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This is a quick and dirty python script for taking text document with comments as exported by Word and in-lining the text of the comments at the comment marker in the document. The process is: * using Word, “save as” the document to a .txt file (choose ‘unicode – utf8′ but default should also work) * python iwc.py -i infile.txt -o outfile.txt * open up outfile.txt with your favourite editor Be warned – the quid pro quo for doing this is you lose a lot of your formatting :( Try using Word’s compare to see the markup between the original.doc and outfile.txt to show the comments.
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Meld
Visual diff and merge tool
Meld is a visual diff and merge tool designed to help users compare files, directories, and version-controlled projects with clarity and precision. It supports two-way and three-way comparisons, making it especially useful for reviewing code changes and resolving merge conflicts. Meld provides live comparison updates, allowing users to see differences immediately as files are edited. With built-in navigation tools, users can move quickly between changes and work directly on specific change... -
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Plugin for OpenOffice Writer 2. Allow convert text from document to QTI XML test format. It is Work in interective mode, convert not all document, but text in selection, interpreted as one qustion. For now allow create "choise" and "compare" ques
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