#AI

Explore a robust text-to-speech system offering zero-shot and few-shot functionalities across languages like English, Japanese, and Chinese. The platform supports fast processing with a real-time factor of 1:5 on an Nvidia RTX 4060 and maintains low character and word error rates. Features include a Gradio-based web UI and a PyQt6 interface for easy cross-platform deployment on Windows, Linux, and macOS, enhanced by fish-tech acceleration.

This guide provides essential resources to learn Large Language Models (LLMs) without needing an advanced background. Stay informed with the latest updates, techniques, and innovations in 2024 while accessing free resources like tutorials, courses, and community forums. Develop skills in areas such as Transformers and NLP through practical exercises and clear explanations. Suitable for all learning styles, the guide enables learners to become proficient in LLMs independently.

Discover an open-source AI application to creatively redesign room images. Simply upload a photo to see innovative room variations created using ControlNet on Replicate. Effortlessly clone and run the app locally with straightforward instructions, utilizing Bytescale for image storage. Ideal for those exploring AI in interior design without the need for authentication or payments.

Experience responsive, AI-driven browsing with Noi, designed for seamless management and interaction. This innovative browser personalizes your online experience by integrating curated AI websites and customizable URL options. Key features include prompt management for efficient organization and 'Noi Ask' for effective communication across multiple AI chats. Unique 'Noi Cache Mode' enhances user interaction by caching links for quick access, while cookie data isolation supports the use of multiple accounts on the same website. With a variety of themes and configurable settings, Noi caters to diverse user preferences, ensuring a sophisticated, user-friendly journey. Explore its full potential by downloading on macOS, Windows, or Linux.

OpenCV provides a wide range of open-source tools focused on computer vision and AI. It offers comprehensive documentation, active forums, and encourages community contributions under clear guidelines. The platform extends its capabilities through the opencv_contrib package and offers educational courses. Resources are tailored for practitioners ranging from novices to experts to enhance their computer vision skills, promoting community interaction and project showcasing.

This tool utilizes AI to produce shell commands and code capable of enhancing workflow across platforms like Linux and Windows. Featuring a simple installation process and options for using OpenAI's API or free local models, it assists with technical analyses and automates command execution via shell integration, making it ideal for developers.

This repository organizes quality AI technology information sources, aiding in knowledge synchronization and closing information gaps. Highlighting platforms like Twitter for timely updates, it offers strategies to filter quality content. The project welcomes contributions to expand resources, covering platforms like Twitter, Zhihu, and academic journals, serving as a detailed guide for those pursuing the latest AI insights.

Explore key AI developments of 2021, featuring breakthroughs with ethical focus, bias awareness, and innovative applications that enhance quality of life. This list provides insights through video summaries, detailed articles, and code repositories, giving a broad understanding of the year's AI achievements. Discover advances from OpenAI's DALL·E to innovations in computer vision and neuroprosthetics, all while considering the critical choices in AI technology implementation.

Explore an AI approach that uses large language model hallucinations for fostering divergent thinking and generating innovative ideas. Understand the setup requirements for running dreamGPT with Python and Poetry to tap into creative potential efficiently.

Magic Cloud, initially developed by AINIRO.IO, serves as a legacy AI-driven platform that facilitates software development using Low-Code and No-Code methodologies. Leveraging Hyperlambda for workflow management in a drag-and-drop setting, it traditionally helped reduce backend API development time by up to 90%. Built on .Net 8 and Angular, Magic Cloud supports Docker installations and AINIRO.IO also offers hosting. Despite its closed-source status now, it remains a reference for small to medium-sized backend API projects.

Memex is a browser extension that facilitates the transformation of web browsing history into a structured knowledge base. It captures web content and metadata locally, utilizing AI-driven search to provide efficient information retrieval. By simulating a secondary memory, the extension offers an interface for querying stored data, aiming to enhance user interaction with digitally archived material.

Dialogbot provides dialogue model technology integrating search-based, task-based, and generative models for effective dialogue responses. It supports applications such as query answering, task guidance, and interactive chat, enhancing AI communications. Features include local and web search dialogues, network-driven task dialogues, and generative chat using GPT2. The system's flexibility and ease of integration make it suitable for developers implementing advanced dialogue models in AI projects.

Discover a varied set of AI tools enhancing creative and development workflows. Featuring AI chatbots like ChatGPT and content creation tools such as Copy.ai and Jasper, this collection also includes Surfer for content optimization and Synthesia for video production. Tools like GitHub Copilot and AI Colors cater to developers and designers, while audio platforms like Murf AI and SOUNDRAW push technological boundaries. These innovations showcase AI's potential in art, audio, and video.

This repository offers a curated selection of resources and study notes on AI, ML, and DL, aimed at engineers, developers, and data scientists. It provides easy access to key materials in areas like natural language processing and neural networks. It supports community contributions and regular updates enhance engagement. Explore practical guides, tools, and libraries designed to expand understanding of AI and ML.

Discover unified Python bindings for Transformer models implemented with GGML in C/C++. Compatible with models like GPT-2 and LLaMA, this package supports GPU layers and integrates with Hugging Face and LangChain. Available through PyPI for easy installation, it also features experimental attributes like GPTQ and streaming, complemented by extensive documentation.

Sweep uses AI to act as a junior developer, effectively turning bug reports and feature requests into code changes. Access its new frontend-based application via a request system to enhance software development workflows. Sweep integrates seamlessly to address coding challenges and boost productivity, ideal for developers and teams aiming to streamline their operations with AI technology.

Casibase is an open-source RAG knowledge database offering web UI and enterprise SSO, supporting AI models such as OpenAI, Azure, LLaMA, and Google Gemini. Its user-friendly interface and robust backend provide enhanced AI functionalities for businesses, facilitating integration and management. Discover its features through online demos or initiate setup via casibase.org. Connect with the community on Discord for support and collaboration.

MediaPipe provides adaptable machine learning solutions for various platforms, including mobile, web, desktop, edge devices, and IoT. It features comprehensive libraries and resources such as ready-to-use models and cross-platform APIs for easy customization and deployment. With tools like MediaPipe Model Maker and MediaPipe Studio, developers can efficiently tailor and assess solutions. As an open-source initiative, it supports additional customization and community collaboration, facilitating artificial intelligence and machine learning integration into diverse applications.

Plandex offers an AI-driven coding assistant within your terminal, simplifying complex project management. It provides quick installation, self-hosting, and easy integration with OpenAI, helping developers save time on version control and routine coding tasks. With support for real-world applications, developers can swiftly build new apps, add features, and fix bugs while enjoying an intuitive and developer-friendly experience.

Discover a collection of Large Language Models (LLMs) that are commercially licensed, featuring models such as T5, GPT-NeoX, and ChatGLM3. Learn about their parameters, context lengths, licensing arrangements, and opportunities for use. Suitable for companies and developers aiming to utilize advanced language technologies, the selection includes models like T5, RWKV, and Falcon, under licenses such as Apache 2.0 and MIT. Engage with open-source initiatives such as Bloom and Pythia, offering models for various languages and needs, from compact options like DLite to extensive ones like Bloom and LLaMA 2.

ChatGenTitle utilizes fine-tuned LLaMA models with extensive arXiv data to efficiently generate paper titles. This project offers open-source models, online trials, and flexibility for diverse AI research fields, facilitating straightforward deployment. Integrating with HuggingFace, it ensures seamless access and applications in scientific contexts, enriched by thorough data collection from arXiv.

Explore a curated compilation of self-supervised learning resources, offering theoretical insights and practical applications in fields such as computer vision, robotics, and natural language processing. Drawing inspiration from influential machine learning projects, this collection highlights self-supervised learning as an emerging trend. It includes critical papers, benchmark codes, and detailed surveys, making it an indispensable resource for researchers and practitioners interested in self-supervised methods. Contributions are encouraged through pull requests to broaden the repository's content and maintain its relevance.

This project offers Python code for training AI agents in the Contra NES game using OpenAI's Proximal Policy Optimization. The algorithm is known for its efficient AI training capabilities, exemplified in OpenAI Five's success. Features include comprehensive training and testing functionalities, a convenient Docker setup, and an exploration of the algorithm's impact in retro gaming scenarios such as Contra, building upon past implementations in other NES titles.

Explore our daily updated repository with a curated selection of articles, blog posts, and videos about Scala, Data Engineering, Java, Big Data, AI, and relevant technology fields. This shared collection is designed to offer succinct insights into the latest trends and innovations. With an easy-to-navigate search feature, readers can find diverse information spanning topics like Kafka ecosystems, unstructured data, data security, and more. Stay informed with regular contributions from tech experts, providing updates on evolving data strategies and technology insights.

Discover FlowGPT, a tool designed to create flowcharts using AI technology. Built with Next.js and Mermaid, it requires Node v18 and an OpenAI API Key. Effortlessly generate animated flowcharts with automatic syntax error detection. Features include key integration and local storage for enhanced usability. Contributions are encouraged, and updates are available on Twitter.

Utilize AI to effortlessly interact with PDF documents, allowing for queries, information extraction, and quick summaries with source references. The solution supports easy PDF uploads, enabling AI-driven conversation, and efficient data retrieval. Implement these features in under 10 lines of code, and access expanded resources for customization via code repositories and tutorials. Stay informed about updates and explore applications across different formats like PDF, CSV, and YouTube for improved functionality.

MaxKB is an open-source Q&A system using large language models and RAG to optimize enterprise knowledge, customer service, and educational interactions. The system allows for effortless document integration and intelligent responses with reduced errors. It is compatible with various local and global models and includes a robust workflow engine for complex AI tasks, ensuring seamless system integration without coding.

This guide offers a multitude of solved problems covering various AI and deep learning topics, aiding data scientists and job seekers in mastering AI concepts necessary for interviews. With detailed explanations and problem-solving strategies, it serves as a valuable reference for enhancing technical knowledge and interview readiness.

Qbot is an AI-based platform for automated quantitative investment. It uses machine learning frameworks such as supervised and reinforcement learning to support the full investment cycle from data collection to live trading. Qbot provides strategy development, backtesting, and simulation tools in a near-real-time setup, with an emphasis on multi-factor models. Some knowledge of Python and trading can be advantageous. Discover how Qbot fills market gaps and resolves trading challenges with its open-source offerings.

Open Assistant API is a versatile open-source AI assistant designed for local deployment and integration with commercial and private models. It supports features like One API, R2R RAG engine, and internet search for scalable AI solutions. Compatible with OpenAI interfaces, it offers extensive model support beyond GPT and allows easy customization.

EasyEdit is a comprehensive framework for refining large language models, enabling precise knowledge updates while preserving model integrity. It integrates advanced methods like AlphaEdit, DeepEdit, and InstructEdit, along with constrained decoding techniques to minimize hallucination. The platform supports editing tasks such as factual, safety, and personality modifications for targeted improvements. Utilizing cutting-edge solutions like EMMET and PMET, it facilitates efficient knowledge insertion, updating, and deletion. EasyEdit's robust evaluation metrics ensure effective and accurate model enhancements, vital for maintaining updated and proficient language models in diverse fields.

Pwnagotchi uses reinforcement learning AI with LSTM and MLP to enhance WiFi security, utilizing bettercap for WPA key capture. It evolves dynamically and cooperates with nearby units using a custom protocol for effective security optimization.

Explore essential tutorials in machine learning, deep learning, and AI with GPU enhancements for improved efficiency. Topics include Web3, Sustainable AI, and applications in transportation and healthcare. Regular updates are provided for continuous learning with tools like TensorFlow and PyTorch, presenting practical examples relevant to current tech trends. Contributions from users are welcomed to maintain engaging content.

Discover a hub for Python education with accessible guides on data structures, machine learning, and AI labs. The resource includes foundational insights on Python, web scraping, and deep learning, supplemented by industry perspectives. Consistently updated with new articles, connect with a tech community on WeChat and find video content on Bilibili for visual guidance. Navigate through structured learning paths for algorithms and AI projects.

Beelzebub is a cutting-edge honeypot framework aimed at identifying and analyzing cyber threats using AI to simulate detailed interaction scenarios. With its low-code implementation, it integrates seamlessly with technologies like Prometheus, Docker, and Kubernetes, supporting protocols such as SSH, HTTP, and TCP. Stay informed on cyber events with a dedicated Telegram bot while exploring diverse configuration options. The project aspires to grow into a full PaaS solution, inviting contributions from the community within an inclusive framework.

This repository is a comprehensive resource hub for the YOLO framework, renowned for real-time object detection. It offers official implementations and variations for platforms like PyTorch and TensorFlow. The project includes extensional frameworks, lightweight deployment options, and applications across diverse fields such as video and medical detection. Covering techniques like pruning, knowledge distillation, and quantization, it supports deployment on hardware like FPGA and TPU. Developers can benefit from the curated learning resources, paper reviews, and code evaluations to enhance skills relevant to fields like autonomous driving and robotics.

This project provides a robust method for daily data scraping and archiving from the official GPT Store, enabling enhanced analysis. The initiative supports various data needs and invites issue-based requests for specific data. Additionally, it features a project dedicated to the daily top 500 GPTs, offering curated insights into leading GPT technologies. Supported by GPTsHunter.com, this project leverages cutting-edge technology for precise and timely data backup, making it a vital resource for developers and researchers interested in GPT trends and performance for informed decision-making in AI tool development.

Explore a free Chrome extension that utilizes ChatGPT AI to generate complete emails or responses using minimal keywords. This tool streamlines communication and boosts productivity. Feedback and issues can be directed to GitHub for ongoing enhancements. Experience efficient email creation through this AI-powered tool tailored to modern communication needs.

WarriorJS allows users to enhance their JavaScript skills through an interactive tower game that challenges them with battles and problem-solving tasks. Available online and as a CLI tool, it is suitable for learners of varying levels and encourages community engagement through contributions and collaboration.

The project provides a system that automatically converts images of mathematical formulas into LaTeX code using machine learning. It accommodates command-line, GUI, and API input methods. The project emphasizes accuracy by optimizing image resolution, performing best on smaller images, and allows for Python integration. Ongoing updates strengthen reliability and ease of use, and training resources enable model customization.

BackgroundRemover is a command line tool using AI to efficiently remove backgrounds from images and videos, offering options like alpha matting and various models such as u2net and u2net_human_seg for precision. Installation is simple via pip or Docker, with customizable settings for video like frame rate and batch size. Perfect for seamless background removal, it can also integrate into larger projects as a library.

Dolly, a large language model by Databricks with 12 billion parameters and based on EleutherAI's Pythia-12b, is commercially licensed. Fine-tuned on around 15,000 instruction-response pairs, Dolly excels in instruction adherence. Although not a state-of-the-art model, it targets accessibility and AI democratization. Challenges such as managing complex prompts and factual accuracy remain, with ongoing improvements. Available on Hugging Face, Dolly facilitates straightforward inference and training on diverse GPU configurations.

Metaflow, developed at Netflix, is a user-oriented library that simplifies building and scaling data science projects. It equips scientists with tools for rapid prototyping, experiment tracking, and cloud scalability, offering extensive resources like tutorials and community support for seamless integration.

This project aims to build an open-source financial model using AI for more efficient analysis of financial data. It emphasizes simplifying the interpretation of financial reports by offering tools that deliver expert-level insights. The project focuses on using community-driven improvements and comprehensive datasets to refine its analytical capabilities. Resources such as tutorials and model fine-tuning are available to foster learning and collaboration. Collaboration and sponsorship are welcome to further enhance the AI's application in financial reporting.

Huozi offers notable advancements in language processing with its sparse mixture of experts (SMoE) architecture, enabling efficient handling of extended contexts. Designed for use in both academic and industrial settings, it features enhancements such as multilingual knowledge integration and refined reasoning capabilities. The model's release comes with various checkpoints and broad platform support, allowing comprehensive deployment and performance acceleration across systems like Transformers and ModelScope.

Explore the GPT-Prompts repository on GitHub, featuring tools like the Midjourney Prompt Generator for generating innovative ideas. This resource is suitable for developers, writers, and creatives looking for fresh inspiration. Discover ongoing updates and features that enhance creative processes through AI-generated suggestions.

Aoi provides a platform to engage in natural language interactions with AI within the terminal. Key features include generating code, executing shell commands, and managing databases. Aoi allows automatic copying of code snippets, schema loading, SQL execution, and remote operations with SSH. It supports translation, summary creation from URLs, and simplifies command explanations. Installation is straightforward using GitHub or Go, with options to customize via OpenAI or Azure configurations.

The project provides a PyTorch-based Korean Named Entity Recognition (NER) implementation using BERT and CRF. Designed for Python 3.x and PyTorch v1.2, it applies advanced NLP techniques to achieve high precision in entity recognition, including dates, locations, and names in a Korean context. The repository features detailed examples and logs of model performance, making it a valuable resource for developers looking to improve their NLP applications and entity recognition systems.

Graphormer is a specialized deep learning tool enhancing molecule science research in areas like drug and material discovery. Its features include pre-trained models for various datasets, and compatibility with frameworks such as PyG and DGL. Available through Azure Quantum Elements, Graphormer has proven effective in competitions like the Open Catalyst Project. Detailed documentation and resources help researchers and developers leverage its full capabilities for scientific progress.

The project offers free, offline high-quality German TTS datasets to make voice technology accessible without licensing issues. It provides datasets in various versions, such as neutral, emotional, and regional dialects, catering to diverse voice synthesis needs. Contributions from Thorsten Müller include trained TTS models compatible with platforms like Coqui AI and Home Assistant. As an open-source initiative, it encourages developers and researchers to contribute to the evolving voice technology field. Tutorials and community engagement are available via the project's YouTube channel.