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AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.

AI tool for creating Spotify playlists.

Convert monolithic Jupyter notebooks into maintainable pipelines.

Performant natural language processing toolkit.

A library for email Spam filtering built on top of NLTK.

Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.

Works with speech, voice, music or other audio using machine-learning models.

Works with speech, voice, music or other audio using machine-learning models.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

StableLM: Stability AI Language Models.

Stan supports deploying, serving, monitoring, or operating AI and machine-learning systems.

A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.

DSPy: The framework for programming — not prompting — foundation models.

⭐ to get notified when new templates drop.

Python-based inferential statistics, hypothesis testing and regression framework.

An English (Porter2) stemming implementation in Elixir.

StreamingLLM is a technique that can enable language models like Llama-2 to have conversations that span across millions of tokens.

Superwise supports deploying, serving, monitoring, or operating AI and machine-learning systems.

A simple Python library for building and testing recommender systems.

A neuro-symbolic framework for building applications with LLMs at the core.

systemprompt.io supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.

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