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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Python programs, usually short, of considerable difficulty, to perfect particular skills.

💿 Free software that works great, and also happens to be open-source Python.

An open-source, low-code machine learning library in Python

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

SoTA LLM for converting natural language questions to SQL queries

Self hosted alternative to Google Photos

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.

Project page for "The Fuzzing Book"

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

Optimization-algorithms is a Python library that contains useful algorithms for several complex problems such as partitioning, floor planning, scheduling.