Basdonax AI RAG v1.0 is a repository that contains all the necessary resources to create your own AI-powered secretary using the RAG from Basdonax AI. It leverages open-source models from Meta and Microsoft, namely 'Llama3-7b' and 'Phi3-4b', allowing users to upload documents and make queries. This tool aims to simplify life for individuals by harnessing the power of AI. The installation process involves choosing between different data models based on GPU capabilities, setting up Docker, pulling the desired model, and customizing the assistant prompt file. Once installed, users can access the RAG through a local link and enjoy its functionalities.

Airchains is a tool for setting up a local EVM network for testing and development purposes. It provides step-by-step instructions for installing and configuring the necessary components. The tool helps users create their own local EVM network, manage keys, deploy contracts, and interact with the network using RPC. It also guides users on setting up a station for tracking and managing transactions. Airchains is designed to facilitate testing and development activities related to blockchain applications built on the EVM platform.

LangServe Ollama is a tool that allows users to fine-tune Korean language models for local hosting, including RAG. Users can load HuggingFace gguf files, create model chains, and monitor GPU usage. The tool provides a seamless workflow for customizing and deploying language models in a local environment.

Ruby Nano Bots is an implementation of the Nano Bots specification supporting various AI providers like Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others. It allows calling tools (functions) and provides a helpful assistant for interacting with AI language models. The tool can be used both from the command line and as a library in Ruby projects, offering features like REPL, debugging, and encryption for data privacy.

AnglE is a library for training state-of-the-art BERT/LLM-based sentence embeddings with just a few lines of code. It also serves as a general sentence embedding inference framework, allowing for inferring a variety of transformer-based sentence embeddings. The library supports various loss functions such as AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. It provides backbones like BERT-based models, LLM-based models, and Bi-directional LLM-based models for training on single or multi-GPU setups. AnglE has achieved significant performance on various benchmarks and offers official pretrained models for both BERT-based and LLM-based models.

Listen is a Solana Swiss-Knife toolkit for algorithmic trading, offering real-time transaction monitoring, multi-DEX swap execution, fast transactions with Jito MEV bundles, price tracking, token management utilities, and performance monitoring. It includes tools for grabbing data from unofficial APIs and works with the $arc rig framework for AI Agents to interact with the Solana blockchain. The repository provides miscellaneous tools for analysis and data retrieval, with the core functionality in the `src` directory.

The receipt-scanner repository is an AI-Powered Receipt and Invoice Scanner for Laravel that allows users to easily extract structured receipt data from images, PDFs, and emails within their Laravel application using OpenAI. It provides a light wrapper around OpenAI Chat and Completion endpoints, supports various input formats, and integrates with Textract for OCR functionality. Users can install the package via composer, publish configuration files, and use it to extract data from plain text, PDFs, images, Word documents, and web content. The scanned receipt data is parsed into a DTO structure with main classes like Receipt, Merchant, and LineItem.

vue-renderer-markdown is a high-performance tool designed for streaming and rendering Markdown content in real-time. It is optimized for handling incomplete or rapidly changing Markdown blocks, making it ideal for scenarios like AI model responses, live content updates, and real-time Markdown rendering. The tool offers features such as ultra-high performance, streaming-first design, Monaco integration, progressive Mermaid rendering, custom components integration, complete Markdown support, real-time updates, TypeScript support, and zero configuration setup. It solves challenges like incomplete syntax blocks, rapid content changes, cursor positioning complexities, and graceful handling of partial tokens with a streaming-optimized architecture.

Zsh Codex is a ZSH plugin that enables AI-powered code completion in the command line. It supports both OpenAI's Codex and Google's Generative AI (Gemini), providing advanced language model capabilities for coding tasks directly in the terminal. Users can easily install the plugin and configure it to enhance their coding experience with AI assistance.

Python-tgpt is a Python package that enables seamless interaction with over 45 free LLM providers without requiring an API key. It also provides image generation capabilities. The name _python-tgpt_ draws inspiration from its parent project tgpt, which operates on Golang. Through this Python adaptation, users can effortlessly engage with a number of free LLMs available, fostering a smoother AI interaction experience.

nano-GraphRAG is a simple, easy-to-hack implementation of GraphRAG that provides a smaller, faster, and cleaner version of the official implementation. It is about 800 lines of code, small yet scalable, asynchronous, and fully typed. The tool supports incremental insert, async methods, and various parameters for customization. Users can replace storage components and LLM functions as needed. It also allows for embedding function replacement and comes with pre-defined prompts for entity extraction and community reports. However, some features like covariates and global search implementation differ from the original GraphRAG. Future versions aim to address issues related to data source ID, community description truncation, and add new components.

Mistral Inference repository contains minimal code to run 7B, 8x7B, and 8x22B models. It provides model download links, installation instructions, and usage guidelines for running models via CLI or Python. The repository also includes information on guardrailing, model platforms, deployment, and references. Users can interact with models through commands like mistral-demo, mistral-chat, and mistral-common. Mistral AI models support function calling and chat interactions for tasks like testing models, chatting with models, and using Codestral as a coding assistant. The repository offers detailed documentation and links to blogs for further information.

FaceFusion Docker is an industry leading face manipulation platform that provides a seamless way to manipulate faces in images and videos. The repository offers Docker containers for CPU, CUDA, TensorRT, and ROCm environments, allowing users to easily set up and run the platform. Users can access different containers through specific ports to browse and interact with the face manipulation features. The platform is designed to be user-friendly and efficient for various face manipulation tasks.

Orbiton is a text editor and simple IDE designed with minimal annoyance in mind, not highly configurable to help users stay focused, and supports rapid edit-format-compile cycles. It is suitable for writing git commit messages, editing README.md and TODO.md files, writing Markdown and exporting to HTML or PDF, learning programming languages, editing files within larger projects, solving Advent of Code tasks, and providing a distraction-free environment for writing. The tool offers unique features like smart cursor movement, paste and copy shortcuts, portal for copying lines across files, code building and formatting shortcuts, and more.

3D content creation tools.

This tool utilizes the OpenAI ChatGPT API to translate text, with a focus on line-based translation, particularly for SRT subtitles. It optimizes token usage by removing SRT overhead and grouping text into batches, allowing for arbitrary length translations without excessive token consumption while maintaining a one-to-one match between line input and output.

Basdonax AI RAG v1.0 is a repository that contains all the necessary resources to create your own AI-powered secretary using the RAG from Basdonax AI. It leverages open-source models from Meta and Microsoft, namely 'Llama3-7b' and 'Phi3-4b', allowing users to upload documents and make queries. This tool aims to simplify life for individuals by harnessing the power of AI. The installation process involves choosing between different data models based on GPU capabilities, setting up Docker, pulling the desired model, and customizing the assistant prompt file. Once installed, users can access the RAG through a local link and enjoy its functionalities.

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

Lumi AI is a friendly AI sidekick with a human-like personality that offers features like file upload and analysis, web search, local chat storage, custom instructions, changeable conversational style, enhanced context retention, voice query input, and various tools. The project has been developed with contributions from a team of developers, designers, and testers, and is licensed under Apache 2.0 and MIT licenses.

Awesome RAG is a curated list of retrieval-augmented generation (RAG) in large language models. It includes papers, surveys, general resources, lectures, talks, tutorials, workshops, tools, and other collections related to retrieval-augmented generation. The repository aims to provide a comprehensive overview of the latest advancements, techniques, and applications in the field of RAG.

Ai2 Scholar QA is a system for answering scientific queries and literature review by gathering evidence from multiple documents across a corpus and synthesizing an organized report with evidence for each claim. It consists of a retrieval component and a three-step generator pipeline. The retrieval component fetches relevant evidence passages using the Semantic Scholar public API and reranks them. The generator pipeline includes quote extraction, planning and clustering, and summary generation. The system is powered by the ScholarQA class, which includes components like PaperFinder and MultiStepQAPipeline. It requires environment variables for Semantic Scholar API and LLMs, and can be run as local docker containers or embedded into another application as a Python package.

Baibot is a versatile chatbot framework designed to simplify the process of creating and deploying chatbots. It provides a user-friendly interface for building custom chatbots with various functionalities such as natural language processing, conversation flow management, and integration with external APIs. Baibot is highly customizable and can be easily extended to suit different use cases and industries. With Baibot, developers can quickly create intelligent chatbots that can interact with users in a seamless and engaging manner, enhancing user experience and automating customer support processes.

OpenNARS-for-Applications is an implementation of a Non-Axiomatic Reasoning System, a general-purpose reasoner that adapts under the Assumption of Insufficient Knowledge and Resources. The system combines the logic and conceptual ideas of OpenNARS, event handling and procedure learning capabilities of ANSNA and 20NAR1, and the control model from ALANN. It is written in C, offers improved reasoning performance, and has been compared with Reinforcement Learning and means-end reasoning approaches. The system has been used in real-world applications such as assisting first responders, real-time traffic surveillance, and experiments with autonomous robots. It has been developed with a pragmatic mindset focusing on effective implementation of existing theory.

Redbox Copilot is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License.

Concierge is a versatile automation tool designed to streamline repetitive tasks and workflows. It provides a user-friendly interface for creating custom automation scripts without the need for extensive coding knowledge. With Concierge, users can automate various tasks across different platforms and applications, increasing efficiency and productivity. The tool offers a wide range of pre-built automation templates and allows users to customize and schedule their automation processes. Concierge is suitable for individuals and businesses looking to automate routine tasks and improve overall workflow efficiency.

Basdonax AI RAG v1.0 is a repository that contains all the necessary resources to create your own AI-powered secretary using the RAG from Basdonax AI. It leverages open-source models from Meta and Microsoft, namely 'Llama3-7b' and 'Phi3-4b', allowing users to upload documents and make queries. This tool aims to simplify life for individuals by harnessing the power of AI. The installation process involves choosing between different data models based on GPU capabilities, setting up Docker, pulling the desired model, and customizing the assistant prompt file. Once installed, users can access the RAG through a local link and enjoy its functionalities.

PerforatedAI is a machine learning tool designed to automate the process of analyzing and extracting information from perforated documents. It uses advanced OCR technology to accurately identify and extract data from documents with perforations, such as surveys, questionnaires, and forms. The tool can handle various types of perforations and is capable of processing large volumes of documents quickly and efficiently. PerforatedAI streamlines the data extraction process, saving time and reducing errors associated with manual data entry. It is a valuable tool for businesses and organizations that deal with large amounts of perforated documents on a regular basis.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

Py-GPT is a Python library that provides an easy-to-use interface for OpenAI's GPT-3 API. It allows users to interact with the powerful GPT-3 model for various natural language processing tasks. With Py-GPT, developers can quickly integrate GPT-3 capabilities into their applications, enabling them to generate text, answer questions, and more with just a few lines of code.

OpenSSA is an open-source framework for creating efficient, domain-specific AI agents. It enables the development of Small Specialist Agents (SSAs) that solve complex problems in specific domains. SSAs tackle multi-step problems that require planning and reasoning beyond traditional language models. They apply OODA for deliberative reasoning (OODAR) and iterative, hierarchical task planning (HTP). This "System-2 Intelligence" breaks down complex tasks into manageable steps. SSAs make informed decisions based on domain-specific knowledge. With OpenSSA, users can create agents that process, generate, and reason about information, making them more effective and efficient in solving real-world challenges.