Forza Mods AIO is a free and open-source tool that enhances the gaming experience in Forza Horizon 4 and 5. It offers a range of time-saving and quality-of-life features, making gameplay more enjoyable and efficient. The tool is designed to streamline various aspects of the game, improving user satisfaction and overall enjoyment.

This repository provides a comprehensive collection of methodologies, tools, and step-by-step instructions for successful training of large language models (LLMs) and multi-modal models. It is a technical resource suitable for LLM/VLM training engineers and operators, containing numerous scripts and copy-n-paste commands to facilitate quick problem-solving. The repository is an ongoing compilation of the author's experiences training BLOOM-176B and IDEFICS-80B models, and currently focuses on the development and training of Retrieval Augmented Generation (RAG) models at Contextual.AI. The content is organized into six parts: Insights, Hardware, Orchestration, Training, Development, and Miscellaneous. It includes key comparison tables for high-end accelerators and networks, as well as shortcuts to frequently needed tools and guides. The repository is open to contributions and discussions, and is licensed under Attribution-ShareAlike 4.0 International.

LMCache is a serving engine extension designed to reduce time to first token (TTFT) and increase throughput, particularly in long-context scenarios. It stores key-value caches of reusable texts across different locations like GPU, CPU DRAM, and Local Disk, allowing the reuse of any text in any serving engine instance. By combining LMCache with vLLM, significant delay savings and GPU cycle reduction are achieved in various large language model (LLM) use cases, such as multi-round question answering and retrieval-augmented generation (RAG). LMCache provides integration with the latest vLLM version, offering both online serving and offline inference capabilities. It supports sharing key-value caches across multiple vLLM instances and aims to provide stable support for non-prefix key-value caches along with user and developer documentation.

Youtu-GraphRAG is a vertically unified agentic paradigm that connects the entire framework based on graph schema, allowing seamless domain transfer with minimal intervention. It introduces key innovations like schema-guided hierarchical knowledge tree construction, dually-perceived community detection, agentic retrieval, advanced construction and reasoning capabilities, fair anonymous dataset 'AnonyRAG', and unified configuration management. The framework demonstrates robustness with lower token cost and higher accuracy compared to state-of-the-art methods, enabling enterprise-scale deployment with minimal manual intervention for new domains.

A handy package for kickstarting AI contests. This Python framework simplifies the creation of an environment for adversarial agents, offering various functionalities for game setup, playing against remote agents, data generation, and contest organization. The package is user-friendly and provides easy-to-use features out of the box. Developed by an enthusiastic team of M.Sc candidates at Polytechnique Montréal, 'seahorse' is distributed under the 3-Clause BSD License.

The Chinese LLM Benchmark is a continuous evaluation list of large models in CLiB, covering a wide range of commercial and open-source models from various companies and research institutions. It supports multidimensional evaluation of capabilities including classification, information extraction, reading comprehension, data analysis, Chinese encoding efficiency, and Chinese instruction compliance. The benchmark not only provides capability score rankings but also offers the original output results of all models for interested individuals to score and rank themselves.

Compute Blade is a feature-rich carrier board designed for the Raspberry Pi Compute Module 4 and compatible alternatives, aimed at simplifying and automating the development and management of on-premise cluster environments. The solution streamlines complex processes, making cluster setup and management efficient and manageable for users, from homelabs to advanced AI clusters at scale.

OpenManus-RL is an open-source initiative focused on enhancing reasoning and decision-making capabilities of large language models (LLMs) through advanced reinforcement learning (RL)-based agent tuning. The project explores novel algorithmic structures, diverse reasoning paradigms, sophisticated reward strategies, and extensive benchmark environments. It aims to push the boundaries of agent reasoning and tool integration by integrating insights from leading RL tuning frameworks and continuously updating progress in a dynamic, live-streaming fashion.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

Fast-DLLM is a diffusion-based Large Language Model (LLM) inference acceleration framework that supports efficient inference for models like Dream and LLaDA. It offers fast inference support, multiple optimization strategies, code generation, evaluation capabilities, and an interactive chat interface. Key features include Key-Value Cache for Block-Wise Decoding, Confidence-Aware Parallel Decoding, and overall performance improvements. The project structure includes directories for Dream and LLaDA model-related code, with installation and usage instructions provided for using the LLaDA and Dream models.

Adobe Photoshop 2024 is the latest version of the program for processing raster graphics. It supports a variety of graphic formats and allows both the creation and editing of images. It is used for creating photorealistic images, working with color scanned images, retouching, color correction, collaging, graphic transformation, color separation, and more. Adobe Photoshop encompasses all methods of working with bitmap images, utilizes layers, and contours. The program is an undisputed leader among professional graphic editors due to its extensive capabilities, high efficiency, and speed. Adobe Photoshop provides all the necessary tools for correction, editing, preparing images for printing, and high-quality output.

This repository contains a collection of tools and scripts for generating code at the repository level. It provides a set of utilities to automate the process of creating and managing code across multiple files and directories. The tools included in this repository aim to improve code generation efficiency and maintainability by streamlining the development workflow. With a focus on enhancing productivity and reducing manual effort, this collection offers a variety of code generation options and customization features to suit different project requirements.

This repository extends the LLVM framework to generate code for use with AMD/Xilinx AI Engine processors. AI Engine processors are in-order, exposed-pipeline VLIW processors focused on application acceleration for AI, Machine Learning, and DSP applications. The repository adds LLVM support for specific features like non-power of 2 pointers, operand latencies, resource conflicts, negative operand latencies, slot assignment, relocations, code alignment restrictions, and register allocation. It includes support for Clang, LLD, binutils, Compiler-RT, and LLVM-LIBC.

Spec Workflow MCP is a Model Context Protocol (MCP) server that offers structured spec-driven development workflow tools for AI-assisted software development. It includes a real-time web dashboard and a VSCode extension for monitoring and managing project progress directly in the development environment. The tool supports sequential spec creation, real-time monitoring of specs and tasks, document management, archive system, task progress tracking, approval workflow, bug reporting, template system, and works on Windows, macOS, and Linux.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

Forza Mods AIO is a free and open-source tool that enhances the gaming experience in Forza Horizon 4 and 5. It offers a range of time-saving and quality-of-life features, making gameplay more enjoyable and efficient. The tool is designed to streamline various aspects of the game, improving user satisfaction and overall enjoyment.

The Ollama Conversation integration adds a conversation agent powered by Ollama in Home Assistant. This agent can be used in automations to query information provided by Home Assistant about your house, including areas, devices, and their states. Users can install the integration via HACS and configure settings such as API timeout, model selection, context size, maximum tokens, and other parameters to fine-tune the responses generated by the AI language model. Contributions to the project are welcome, and discussions can be held on the Home Assistant Community platform.

Crawl4AI is a powerful and free web crawling service that extracts valuable data from websites and provides LLM-friendly output formats. It supports crawling multiple URLs simultaneously, replaces media tags with ALT, and is completely free to use and open-source. Users can integrate Crawl4AI into Python projects as a library or run it as a standalone local server. The tool allows users to crawl and extract data from specified URLs using different providers and models, with options to include raw HTML content, force fresh crawls, and extract meaningful text blocks. Configuration settings can be adjusted in the `crawler/config.py` file to customize providers, API keys, chunk processing, and word thresholds. Contributions to Crawl4AI are welcome from the open-source community to enhance its value for AI enthusiasts and developers.

MaterialSearch is a tool for searching local images and videos using natural language. It provides functionalities such as text search for images, image search for images, text search for videos (providing matching video clips), image search for videos (searching for the segment in a video through a screenshot), image-text similarity calculation, and Pexels video search. The tool can be deployed through the source code or Docker image, and it supports GPU acceleration. Users can configure the tool through environment variables or a .env file. The tool is still under development, and configurations may change frequently. Users can report issues or suggest improvements through issues or pull requests.

Tenere is a TUI interface for Language Model Libraries (LLMs) written in Rust. It provides syntax highlighting, chat history, saving chats to files, Vim keybindings, copying text from/to clipboard, and supports multiple backends. Users can configure Tenere using a TOML configuration file, set key bindings, and use different LLMs such as ChatGPT, llama.cpp, and ollama. Tenere offers default key bindings for global and prompt modes, with features like starting a new chat, saving chats, scrolling, showing chat history, and quitting the app. Users can interact with the prompt in different modes like Normal, Visual, and Insert, with various key bindings for navigation, editing, and text manipulation.

OpenKore is a custom client and intelligent automated assistant for Ragnarok Online. It is a free, open source, and cross-platform program (Linux, Windows, and MacOS are supported). To run OpenKore, you need to download and extract it or clone the repository using Git. Configure OpenKore according to the documentation and run openkore.pl to start. The tool provides a FAQ section for troubleshooting, guidelines for reporting issues, and information about botting status on official servers. OpenKore is developed by a global team, and contributions are welcome through pull requests. Various community resources are available for support and communication. Users are advised to comply with the GNU General Public License when using and distributing the software.

QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository. It allows users to chat with GitHub public repositories using a git clone approach, store chat history, configure settings easily, manage multiple chat sessions, and quickly locate sessions with a search function. The tool integrates with `codegraph` to view Python files and supports various LLM models such as ollama, openai, mistralai, and localai. The project is continuously updated with new features and improvements, such as converting from `flask` to `fastapi`, adding `localai` API support, and upgrading dependencies like `langchain` and `Streamlit` to enhance performance.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

XMage is an open-source, cross-platform application that allows users to play the collectible card game Magic: The Gathering online against other players or computer opponents. It supports over 25,000 unique cards and more than 65,000 reprints from different editions, including custom sets like Star Wars. XMage supports single matches and tournaments with dozens of game modes, including duel, multiplayer, standard, modern, commander, pauper, oathbreaker, historic, freeform, and richman. It also features a deck editor, a player rating system, and support for special formats like Commander, Oathbreaker, Cube, Tiny Leaders, Super Standard, and Historic Standard.

Forza Mods AIO is a free and open-source tool that enhances the gaming experience in Forza Horizon 4 and 5. It offers a range of time-saving and quality-of-life features, making gameplay more enjoyable and efficient. The tool is designed to streamline various aspects of the game, improving user satisfaction and overall enjoyment.

This repository contains a list of EOS airdrops. Airdrops are a way for projects to distribute tokens to their community. They can be used to reward early adopters, promote the project, or raise funds. This repository includes airdrops for a variety of projects, including both new and established projects.

Discord AI Chatbot is a versatile tool that seamlessly integrates into your Discord server, offering a wide range of capabilities to enhance your communication and engagement. With its advanced language model, the bot excels at imaginative generation, providing endless possibilities for creative expression. Additionally, it offers secure credential management, ensuring the privacy of your data. The bot's hybrid command system combines the best of slash and normal commands, providing flexibility and ease of use. It also features mention recognition, ensuring prompt responses whenever you mention it or use its name. The bot's message handling capabilities prevent confusion by recognizing when you're replying to others. You can customize the bot's behavior by selecting from a range of pre-existing personalities or creating your own. The bot's web access feature unlocks a new level of convenience, allowing you to interact with it from anywhere. With its open-source nature, you have the freedom to modify and adapt the bot to your specific needs.

llmcord.py enables collaborative LLM prompting in your Discord server. It works with practically any LLM, remote or locally hosted. ### Features ### Reply-based chat system Just @ the bot to start a conversation and reply to continue. Build conversations with reply chains! You can do things like: - Build conversations together with your friends - "Rewind" a conversation simply by replying to an older message - @ the bot while replying to any message in your server to ask a question about it Additionally: - Back-to-back messages from the same user are automatically chained together. Just reply to the latest one and the bot will see all of them. - You can seamlessly move any conversation into a thread. Just create a thread from any message and @ the bot inside to continue. ### Choose any LLM Supports remote models from OpenAI API, Mistral API, Anthropic API and many more thanks to LiteLLM. Or run a local model with ollama, oobabooga, Jan, LM Studio or any other OpenAI compatible API server. ### And more: - Supports image attachments when using a vision model - Customizable system prompt - DM for private access (no @ required) - User identity aware (OpenAI API only) - Streamed responses (turns green when complete, automatically splits into separate messages when too long, throttled to prevent Discord ratelimiting) - Displays helpful user warnings when appropriate (like "Only using last 20 messages", "Max 5 images per message", etc.) - Caches message data in a size-managed (no memory leaks) and per-message mutex-protected (no race conditions) global dictionary to maximize efficiency and minimize Discord API calls - Fully asynchronous - 1 Python file, ~200 lines of code

Discourse AI is a plugin for the Discourse forum software that uses artificial intelligence to improve the user experience. It can automatically generate content, moderate posts, and answer questions. This can free up moderators and administrators to focus on other tasks, and it can help to create a more engaging and informative community.

MukeshRobot is a Telegram group controller bot written in Python. It is designed to help group administrators manage their groups more effectively. The bot can perform a variety of tasks, including: - Welcoming new members - Banning spammers - Deleting inappropriate messages - Managing group settings - Sending announcements - Playing games MukeshRobot is easy to set up and use. Simply add the bot to your group and give it administrator privileges. The bot will then automatically start performing its tasks. You can also customize the bot's behavior by editing the config file. MukeshRobot is a powerful tool that can help you keep your Telegram groups clean and organized. It is a must-have for any group administrator.

Galxe AIO is a versatile tool designed to automate various tasks on social media platforms like Twitter, email, and Discord. It supports tasks such as following, retweeting, liking, and quoting on Twitter, as well as solving quizzes, submitting surveys, and more. Users can link their Twitter accounts, email accounts (IMAP or mail3.me), and Discord accounts to the tool to streamline their activities. Additionally, the tool offers features like claiming rewards, quiz solving, submitting surveys, and managing referral links and account statistics. It also supports different types of rewards like points, mystery boxes, gas-less OATs, gas OATs and NFTs, and participation in raffles. The tool provides settings for managing EVM wallets, proxies, twitters, emails, and discords, along with custom configurations in the `config.toml` file. Users can run the tool using Python 3.11 and install dependencies using `pip` and `playwright`. The tool generates results and logs in specific folders and allows users to donate using TRC-20 or ERC-20 tokens.