Search Results for "vendor document validation"
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Showing 8 open source projects for "vendor document validation"
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1
ODMantic
Sync and Async ODM (Object Document Mapper) for MongoDB
Odmantic is an Object-Document Mapper (ODM) for MongoDB, designed for Python applications using Pydantic models, providing a seamless integration with type safety and validation. -
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watermarks-remover
Strip multi-vendor AI provenance marks
Watermarks Remover is an agent skill and Python service for removing AI provenance marks from text and files that users own. It cleans invisible Unicode characters, exotic spaces, bidirectional controls, and other hidden text artifacts through deterministic processing. Statistical text watermarks can be addressed through agent rewriting and an optional rewrite hook. The service also strips provenance and metadata such as C2PA, EXIF, XMP, and document properties from many media and document... -
3
itr-wala
File your Indian income tax return (ITR) from your terminal
itr-wala is an agent skill for preparing Indian income tax returns from a terminal while keeping tax calculations in deterministic Python code. The AI reads documents such as Form 16, AIS, and broker statements, asks follow-up questions, and explains the resulting figures. A separate tax engine handles slabs, rebates, cess, surcharges, special-rate income, interest, late fees, and old-versus-new regime comparisons. Strict validation cross-checks entered values and rejects malformed or... -
4
ContextGem
ContextGem: Effortless LLM extraction from documents
ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval. -
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5
Auto-Deep-Research
Your Fully-Automated Personal AI Assistant
...Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction, metric evaluation, and structured writing. Auto-Deep-Research integrates retrieval from academic and web sources, processes document corpora for relevance and key insights, and organizes outputs into coherent chapters or sections according to research standards. It also embeds validation loops, where intermediate drafts are self-checked for consistency, coverage, and alignment with sound reasoning practices, reducing reliance on raw generation alone. -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
7
MatchZoo
Facilitating the design, comparison and sharing of deep text models
...Make use of MatchZoo customized loss functions and evaluation metrics. Initialize the model, fine-tune the hyper-parameters. Generate pair-wise training data on-the-fly, evaluate model performance using customized callbacks on validation data. MatchZoo is dependent on Keras and Tensorflow. -
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XmlValTran
Gedit Plugin for XML Validation and Transformation
Use xmllint (from libxml2) and xsltproc (from libxslt) from within Gedit to validate an XML document. To install: 1) Download the xmlvaltran.py and xmlvaltran.plugin files to the "~/.local/share/gedit/plugins/" directory. If the directory does not exist, create it: "mkdir -p ~/.local/share/gedit/plugins/" 2) Start or restart Gedit, and go to "Edit -> Preferences -> Plugins". 3) Select the checkbox next to "XML Validator/Transformer". The plugin will be displayed in the side...
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