Artificial Intelligence
Showing 36 of 81 projects
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
A collection of libraries to optimize AI model performance through inference acceleration, infrastructure efficiency, and fine-tuning optimization.
A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.
A Python NLP library from Stanford for tokenization, sentence segmentation, NER, and dependency parsing across 60+ languages.
Lisp code and ebook for the classic textbook 'Paradigms of Artificial Intelligence Programming' by Peter Norvig.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.
A Rust library for building scalable, modular, and ergonomic LLM-powered applications.
A Python framework for creating AI agents that learn to play any video game you own.
An open-source implementation of Hierarchical Temporal Memory (HTM) for anomaly detection and prediction of streaming data.
A curated list of apps, tools, extensions, and resources for ChatGPT, OpenAI's AI chatbot.
A high-performance deep learning library written entirely in Swift, optimized for Apple hardware.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A community-maintained PHP API client for interacting with OpenAI's API, including chat, audio, images, and fine-tuning.
An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.
A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.
DeepMind's library for building graph networks in TensorFlow and Sonnet, enabling graph-structured data processing with neural networks.
A PyTorch library providing GPU-accelerated tools for 3D deep learning, including differentiable rendering and geometric operations.
An AI experimentation platform built on Minecraft for training and researching intelligent agents in complex 3D environments.
An open-source platform for building, training, and monitoring large-scale deep learning applications with full lifecycle MLOps.
A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.
A unified and efficient machine learning toolbox with C++ core and multi-language interfaces, developed since 1999.
A JavaScript library for real-time hand detection and pose classification directly in the browser using TensorFlow.js.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
An open-source, AI-first data notebook that extends Jupyter with a sleek UI, reactive execution, and native data integrations.
A TypeScript/JavaScript framework for building resilient, stateful language agents as directed graphs.
A Godot 4 plugin providing Behavior Trees and Hierarchical State Machines for creating complex AI behaviors in games.
An open-source ChatGPT app with realistic voice capabilities using ElevenLabs text-to-speech.
A curated list of resources, tools, and applications for OpenAI's Whisper speech recognition model.
A curated list of resources, tools, and applications for OpenAI's Whisper speech recognition system.
A curated list of awesome libraries, data sources, tutorials, and resources for machine learning using the Ruby programming language.
A powerful client-side JavaScript library for interacting with the ChatGPT DOM.
A Ruby library for building LLM-powered applications with a unified interface for multiple providers, RAG systems, and AI assistants.
A Ruby gem for building LLM-powered applications with a unified interface for multiple providers, RAG systems, and AI assistants.
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
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