github.com
Godot 4.x asset that enables NPCs to interact with players using local LLMs for structured, offline-first learning conversations in games.
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A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
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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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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 chat LLM based on the state-space model architecture.
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A model-agnostic visual debugging tool for machine learning.
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A Julia package for manifold learning and nonlinear dimensionality reduction.
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AI Agent Teams for multi-app social media marketing — automated trend research, content creation, optimization, publishing, and analytics across TikTok, Instagram, YouTube, Facebook, Reddit, X, and Pinterest
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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Small Language Model tailored for edge devices.
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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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A platform for deploying and serving machine learning models.
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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.