Fast and Accurate ML in 3 Lines of Code
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Updated
May 20, 2025 - Python
Fast and Accurate ML in 3 Lines of Code
Knowledge Agents and Management in the Cloud
Get clean data from tricky documents, powered by vision-language models ⚡
DeepTables: Deep-learning Toolkit for Tabular data
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Identify hardcoded secrets in static structured text
Streamlit PDF viewer
Accurate, private and configurable document retrieval LLM
Superpipe - optimized LLM pipelines for structured data
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
Automatic machine learning for tabular data. ⚡🔥⚡
Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.
Extract structured data from local or remote LLM models
Python library for Entities, relationships and schemas extraction from documents
General template for most Pytorch projects
Client interface to Cleanlab Studio and the Trustworthy Language Model
Sequential sets to sequential sets learning
🤓 A collection of AWESOME structured summaries of Large Language Models (LLMs)
Natural language structuring library
Define python objects that can be safely converted to (and from) bytes.
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