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TPOT (Tree-based Pipeline Optimization Tool) is a Python automated machine learning tool that optimizes machine learning pipelines using genetic programming. The project underwent a major refactoring, merging what was once called TPOT2 into the main package, with new features including genetic feature selection, multi-objective optimization and an expanded method of defining search spaces.
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Agents is an open-source framework for data-centric, self-evolving autonomous language agents. It introduces agent symbolic learning, which treats an agent pipeline like a computational graph and uses prompt-based loss, back-propagation and weight updates to train agents. The project also supports optimizing multi-agent systems and was updated to Agents 2.0 with agent learning and evaluation support.
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Half Beer is an open-source JavaScript example project that demonstrates a neural network learning to predict whether a beer glass is perceived as half full or half empty based on user decisions. It is built using the synaptic.js neural network library.
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A Python wrapper around the ZPar statistical natural language parser, providing a ctypes-based interface and an XML-RPC ZPar server for batch processing. It works only with English ZPar models and supports 64-bit Linux and OS X. The repository was archived on Sep 13, 2022 and is read-only; the project is no longer under active development.
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TNN is a deep learning inference framework for mobile, desktop and server, developed by Tencent Youtu Lab and Guangying Lab. It is based on ncnn and Rapidnet and extends support to X86 and NV GPUs. The project states that it has been used in Tencent applications including Mobile QQ, Weishi and Pitu.
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Better DeepSeek is an open-source browser extension that adds tools to the DeepSeek chat interface, including a customizable system prompt, persistent memory, and tag-based output. It can generate downloadable files, PowerPoint and Excel documents, and multi-file ZIP projects, and run Python in the browser. The project is described as unofficial and independent.
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segmentation models.pytorch is a library that offers semantic segmentation models paired with more than 500 pretrained convolutional and transformer-based backbones. It is maintained as an open source project on GitHub.
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Serpent.AI is a Python-based Game Agent Framework intended to help users create artificial intelligences and bots that learn to play video games. The project was marked as end of life in November 2018, with a revival update released in May 2020.