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Provides a central interface to connect your LLM's with external data.
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LlamaIndex is a data framework for your LLM applications.
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Build agents which are controlled by LLMs.
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Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
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A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
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Creates or edits images with generative models and visual controls.
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Using Low-rank adaptation to quickly fine-tune diffusion models.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
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A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
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Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
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Class on machine w/ PDF, lectures, code.
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Machine Learning library for the web, Node.js and developers.
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Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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The memory layer for Personalized AI.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Flexible Deep Learning Framework in Julia.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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An open source robotics benchmark for meta- and multi-task reinforcement learning.