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Add Jido and ReqLLM to the project list (#4915)
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README.md

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@@ -239,10 +239,12 @@ There are [other sites with curated lists of elixir packages](#other-awesome-lis
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* [ExLLama](https://github.com/noizu-labs-ml/ex_llama) - LlamaCpp Nif Extensions for Elixir/Erlang. ([Docs](https://hexdocs.pm/ex_llama/ExLLama.html)).
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* [Exnn](https://github.com/zampino/exnn) - Evolutive Neural Networks framework à la G.Sher written in Elixir. ([Docs](http://zampino.github.io/exnn/)).
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* [GenAI](https://github.com/noizu-labs-ml/genai) - An extensible Generative AI Completion API Wrapper with basic chat completion with tool use support provided for Gemini, Anthropic, OpenAI, and Mistral models. ([Docs](https://hexdocs.pm/genai/GenAI.html)).
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* [Jido](https://github.com/agentjido/jido) - Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
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* [m2cgen](https://github.com/BayesWitnesses/m2cgen) - A CLI tool to transpile trained classic ML models into a native Elixir code with zero dependencies.
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* [Neat-Ex](https://gitlab.com/onnoowl/Neat-Ex) - An Elixir implementation of the NEAT algorithm. ([Docs](https://hexdocs.pm/neat_ex/Neat.html)).
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* [Noizu-OpenAi](https://github.com/noizu-labs/elixir-openai) - An Elixir Api for the OpenAI Library. ([Docs](https://hexdocs.pm/noizu_labs_open_ai/api-reference.html)).
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* [Nx](https://github.com/elixir-nx/nx) - Multi-dimensional arrays (tensors) and numerical definitions for Elixir.
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* [ReqLLM](https://github.com/agentjido/req_llm) - LLM Client supporting over 100+ LLM Providers and Models
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* [Runhyve](https://runhyve.app) - Runhyve is complete virtual machines manager for bhyve on FreeBSD. It's written in Elixir and uses Phoenix framework.
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* [simple_bayes](https://github.com/fredwu/simple_bayes) - A Simple Bayes / Naive Bayes implementation in Elixir.
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* [Synapses](https://mrdimosthenis.github.io/Synapses/?elixir) - A lightweight library for neural networks.

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