Fast and Accurate ML in 3 Lines of Code
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Updated
May 14, 2024 - Python
Fast and Accurate ML in 3 Lines of Code
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
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. ⚡🔥⚡
General template for most Pytorch projects
Sequential sets to sequential sets learning
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.
Client interface for all things Cleanlab Studio
Natural language structuring library
Define python objects that can be safely converted to (and from) bytes.
Extract structured data from local or remote LLM models
🌎 🖥 Supercharge your scraper to extract quality page metadata by parsing JSON-LD data via Python's extruct library.
Infer Python types from JSON data, use them for auto serialisation and parsing
🤓 A collection of AWESOME structured summaries of Large Language Models (LLMs)
Extract structured data from HN job threads
An IDE friendly alternative to Python's struct and construct
A proposal for Outreachy Internship 2021.
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