Fast and Accurate ML in 3 Lines of Code
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Updated
May 31, 2024 - Python
Fast and Accurate ML in 3 Lines of Code
DeepTables: Deep-learning Toolkit for Tabular data
Identify hardcoded secrets in static structured text
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
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.
Sequential sets to sequential sets learning
Automatic machine learning for tabular data. ⚡🔥⚡
Natural language structuring library
General template for most Pytorch projects
Define python objects that can be safely converted to (and from) bytes.
Client interface for all things Cleanlab Studio
source code for the Ocean InfoHub (OIH) website
Extract structured data from local or remote LLM models
An IDE friendly alternative to Python's struct and construct
A json based data storage model for python3
Superpipe - optimized LLM pipelines for structured data
Indox is an advanced search and retrieval technique that efficiently extracts data from diverse document types, including PDFs and HTML, using online or offline large language models such as Openai, Hugging Face , etc.
Structuring parsed data into python objects
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