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AutoML framework & toolkit for machine learning on graphs.
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Automated machine learning for image, text, tabular, time-series, and multi-modal data.
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AutoKeras goal is to make machine learning accessible for everyone.
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Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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A curated list of machine learning models in CoreML format.
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Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
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Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
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Curated list of ML related resources for Ruby.
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Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
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List of awesome compiler projects and papers for tensor computation and deep learning.
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A simple, but essential Bayesian optimization package, written in Python.
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GPT Migrate team is working on adding for the agent.
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Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
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CPU and GPU-accelerated Machine Learning Library.
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Accessible large language models via k-bit quantization for PyTorch.
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Everything you need to know to build your own RAG application.
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The iOS and OS X neural network framework.
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Breeze is a numerical processing library for Scala.
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"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
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Theano based library for deep and recurrent neural networks.
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Fast open framework for deep learning.
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Authors:, Dexter Storey, Ted Spare.
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Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
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A general classifier module to allow Bayesian and other types of classifications.