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Here are some open-source tools to assist developers in building AI solutions.

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Llama.cpp

Enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware

Streamlit

Streamlit is an open-source Python framework for creating interactive data applications effortlessly.

OuteTTS

OuteTTS is an package for using OuteTTS text-to-speech models.

PyMuPDF

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

Ultralytics

Ultralytics provides cutting-edge computer vision models, including YOLO11, enabling developers to integrate real-time object detection, segmentation, and classification into AI applications with minimal effort.

SAM 2

The Segment Anything Model 2 (SAM 2) is an advanced AI model developed by Meta AI, designed to perform real-time, promptable object segmentation in both images and videos.

Kokoro

Kokoro is an inference library for the Kokoro model, an open-weight TTS model.

Llamafile

Llamafile allows you to run local LLMs efficiently and easily.

Flower

Flower is a customizable, extendable, and framework-agnostic framework for building federated learning systems.

HuggingFace Transformers

HuggingFace Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

HuggingFace Hub

The huggingface_hub library is used to interact with the HuggingFace Hub, enabling you to discover pre-trained models and datasets for your projects.

Gradio

Gradio allows you to build a friendly web interface so that anyone can use your project.

Marimo

Marimo is an open-source reactive notebook for Python that keeps your code and outputs always in sync

Mastodon.py

Mastodon is a free, decentralized, and open-source social network designed to give users control over their online experience.

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