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The memory layer for Personalized AI.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
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Small Language Model tailored for edge devices.
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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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A model-agnostic visual debugging tool for machine learning.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A chat LLM based on the state-space model architecture.
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Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
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Machine Learning library for the web, Node.js and developers.
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Class on machine w/ PDF, lectures, code.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
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TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
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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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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Using Low-rank adaptation to quickly fine-tune diffusion models.
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A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.