WordSea is a SvelteKit web application that aims to enhance English vocabulary learning by utilizing mnemonic techniques to associate words with visual representations. It addresses the challenge of memorizing abstract concepts by generating definition-based visualizations using LLMs and Text-to-Image models. The visualizations are combined with word definitions, IPA pronunciation, audio recordings, and derivative information to create comprehensive word cards.

This project enables users to create story videos by inputting a story theme, utilizing a large language model to generate AI-generated images, story content, audio, and subtitles. The backend is built with Python and FastAPI, while the frontend utilizes React, Ant Design, and Vite.

Nagato-AI is an intuitive AI Agent library that supports multiple LLMs including OpenAI's GPT, Anthropic's Claude, Google's Gemini, and Groq LLMs. Users can create agents from these models and combine them to build an effective AI Agent system. The library is named after the powerful ninja Nagato from the anime Naruto, who can control multiple bodies with different abilities. Nagato-AI acts as a linchpin to summon and coordinate AI Agents for specific missions. It provides flexibility in programming and supports tools like Coordinator, Researcher, Critic agents, and HumanConfirmInputTool.

iLLM-TSC is a framework that integrates reinforcement learning and large language models for traffic signal control policy improvement. It refines RL decisions based on real-world contexts and provides reasonable actions when RL agents make erroneous decisions. The framework includes cases where the large language model provides explanations and recommendations for RL agent actions, such as prioritizing emergency vehicles at intersections. Users can install and run the framework locally to train RL models and evaluate the combined RL+LLM approach.

OpenVoiceChat is an open-source tool designed for having natural voice conversations with an LLM model. It supports various speech-to-text (STT), text-to-speech (TTS), and large language model (LLM) models. The tool aims to provide an alternative to closed commercial implementations, with well-abstracted APIs that are easy to use and extend. Users can install base and functionality-specific packages using pip, and the tool supports interruptions during conversations. The project encourages contributions through bounties and has a detailed roadmap available for reference.

PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI. It is built by the Pydantic Team and supports various AI models like OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral. PydanticAI seamlessly integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking of LLM-powered applications. It is type-safe, Python-centric, and offers structured responses, dependency injection system, and streamed responses. PydanticAI is in early beta, offering a Python-centric design to apply standard Python best practices in AI-driven projects.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.

This repository contains the source code and datasets for Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs accepted to ACL 2024. It proposes a framework called Graph Chain-of-thought (Graph-CoT) to enable Language Models to traverse graphs step-by-step for reasoning, interaction, and execution. The motivation is to alleviate hallucination issues in Language Models by augmenting them with structured knowledge sources represented as graphs.

GPT Author is a command-line tool designed to help users write long form, multi-chapter stories by providing a story prompt and generating a synopsis and subsequent chapters using ChatGPT. Users can review and make changes to the generated content before finalizing the story output in Markdown and HTML formats. The tool aims to unleash storytelling genius by combining human input with AI-generated content, offering a seamless writing experience for creating engaging narratives.

Mastra is an opinionated Typescript framework designed to help users quickly build AI applications and features. It provides primitives such as workflows, agents, RAG, integrations, syncs, and evals. Users can run Mastra locally or deploy it to a serverless cloud. The framework supports various LLM providers, offers tools for building language models, workflows, and accessing knowledge bases. It includes features like durable graph-based state machines, retrieval-augmented generation, integrations, syncs, and automated tests for evaluating LLM outputs.

Writer Framework is an open-source framework for creating AI applications. It allows users to build user interfaces using a visual editor and write the backend code in Python. The framework is fast, flexible, and provides separation of concerns between UI and business logic. It is reactive and state-driven, highly customizable without requiring CSS, fast in event handling, developer-friendly with easy installation and quick start options, and contains full documentation for using its AI module and deployment options.

CoLLM is a novel method that integrates collaborative information into Large Language Models (LLMs) for recommendation. It converts recommendation data into language prompts, encodes them with both textual and collaborative information, and uses a two-step tuning method to train the model. The method incorporates user/item ID fields in prompts and employs a conventional collaborative model to generate user/item representations. CoLLM is built upon MiniGPT-4 and utilizes pretrained Vicuna weights for training.

Hashbrown is a lightweight and efficient hashing library for Python, designed to provide easy-to-use cryptographic hashing functions for secure data storage and transmission. It supports a variety of hashing algorithms, including MD5, SHA-1, SHA-256, and SHA-512, allowing users to generate hash values for strings, files, and other data types. With Hashbrown, developers can quickly implement data integrity checks, password hashing, digital signatures, and other security features in their Python applications.

Pandrator is a GUI tool for generating audiobooks and dubbing using voice cloning and AI. It transforms text, PDF, EPUB, and SRT files into spoken audio in multiple languages. It leverages XTTS, Silero, and VoiceCraft models for text-to-speech conversion and voice cloning, with additional features like LLM-based text preprocessing and NISQA for audio quality evaluation. The tool aims to be user-friendly with a one-click installer and a graphical interface.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

WordSea is a SvelteKit web application that aims to enhance English vocabulary learning by utilizing mnemonic techniques to associate words with visual representations. It addresses the challenge of memorizing abstract concepts by generating definition-based visualizations using LLMs and Text-to-Image models. The visualizations are combined with word definitions, IPA pronunciation, audio recordings, and derivative information to create comprehensive word cards.

AI Study Assistant is an app designed to enhance learning experience and boost academic performance. It serves as a personal tutor, lecture summarizer, writer, and question generator powered by Google PaLM 2. Features include interacting with an AI chatbot, summarizing lectures, generating essays, and creating practice questions. The app is built using 100% Kotlin, Jetpack Compose, Clean Architecture, and MVVM design pattern, with technologies like Ktor, Room DB, Hilt, and Kotlin coroutines. AI Study Assistant aims to provide comprehensive AI-powered assistance for students in various academic tasks.

anki_packager is an intelligent tool for generating high-quality Anki flashcards for English vocabulary. It integrates multiple curated dictionaries, provides automated learning experiences, supports various features like Google TTS pronunciation and AI models for word summarization and story generation, offers convenient data import from other sources, ensures a good command-line interface, and can be run using Docker. Each flashcard includes detailed learning resources such as definitions, tenses, AI-generated roots for mnemonic aids, phrases, example sentences, word differentiations, and English explanations with AI-generated stories.

Zoonk is a web app designed for creating interactive courses using AI. Currently in early development stage, it is not yet ready for use but aims to be available for testing and contributions in the future. The project focuses on leveraging AI technology to enhance the learning experience by providing interactive course creation tools. Zoonk also conducts model evaluations on different prompts to improve its AI capabilities. The project has garnered support from various individuals who believe in its vision and potential.

LLPlayer is a specialized media player designed for language learning, offering unique features such as dual subtitles, AI-generated subtitles, real-time OCR, real-time translation, word lookup, and more. It supports multiple languages, online video playback, customizable settings, and integration with browser extensions. Written in C#/WPF, LLPlayer is free, open-source, and aims to enhance the language learning experience through innovative functionalities.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

Daily Chinese ancient poetry and AI-generated images powered by Bing DALL-E-3. GitHub Action triggers the process automatically. Poetry is provided by Today's Poem API. The website is built with Astro.

EXIF Photo Blog is a full-stack photo blog application built with Next.js, Vercel, and Postgres. It features built-in authentication, photo upload with EXIF extraction, photo organization by tag, infinite scroll, light/dark mode, automatic OG image generation, a CMD-K menu with photo search, experimental support for AI-generated descriptions, and support for Fujifilm simulations. The application is easy to deploy to Vercel with just a few clicks and can be customized with a variety of environment variables.

SillyTavern is a user interface you can install on your computer (and Android phones) that allows you to interact with text generation AIs and chat/roleplay with characters you or the community create. SillyTavern is a fork of TavernAI 1.2.8 which is under more active development and has added many major features. At this point, they can be thought of as completely independent programs.

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

Aila Desktop Application is a powerful tool that integrates multiple leading AI models into a single desktop application. It allows users to interact with various AI models simultaneously, providing diverse responses and insights to their inquiries. With its user-friendly interface and customizable features, Aila empowers users to engage with AI seamlessly and efficiently. Whether you're a researcher, student, or professional, Aila can enhance your AI interactions and streamline your workflow.

This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

LocalVocal is a live-streaming AI assistant plugin for OBS that allows you to transcribe audio speech into text and perform various language processing functions on the text using AI / LLMs (Large Language Models). It's privacy-first, with all data staying on your machine, and requires no GPU, cloud costs, network, or downtime.