QAbot-zh/query-key is a pure front-end API testing tool that supports various API formats such as oneapi/newapi and can also verify OpenAI formatted APIs. The main advantage of this tool lies in its front-end implementation, eliminating concerns about gateway timeouts while ensuring data security. It provides comprehensive test data displays, including response times and model consistency, allowing users to intuitively understand API performance. Additionally, it supports local one-click execution and online hosting via pages, making it convenient for users to deploy and use quickly.

gmft is a toolkit designed to convert tables in PDFs into various formats. It is lightweight, modular, and delivers exceptional performance. gmft relies on Microsoft's Table Transformers, recognized as one of the best-performing and most reliable solutions among many alternatives. It operates without the need for a GPU, offering high throughput and easy installation, requiring only a single line of code. It utilizes PyPDFium2, favored for its high throughput and permissive licensing. The training model TATR used by gmft is trained on the diverse dataset PubTables-1M, ensuring high reliability.

Understanding Deep Learning is a classic textbook in the field of deep learning, written by Simon J.D. Prince and published by MIT Press on December 5, 2023. This book covers many key concepts in the field of deep learning, suitable for beginners and experienced developers to read. This repository provides the Chinese translation of the book, which is machine-translated using ChatGPT and reviewed by humans to ensure accuracy.

Awesome-Claude-Artifacts is a GitHub repository dedicated to collecting and showcasing interesting and substantive content generated by Anthropic's AI assistant, Claude, during conversations. This can include code snippets, Markdown documents, HTML pages, SVG images, Mermaid diagrams, or React components. The platform encourages community members to share Claude Artifacts they find interesting, useful, or creative, and provides detailed contribution guidelines.

Understanding Deep Learning is a book that delves into the principles and applications of deep learning. It provides a wealth of mathematical background knowledge, supervised learning, the construction and training of neural networks, and comprehensive content in the field of deep learning. The Python notebooks provided in the book help readers deepen their understanding through practice. In addition, there are resources for teachers, including images, slides, and teaching materials.

BrainyAI is a completely free Chrome browser extension. Users only need to log in once to use various AI websites. Through a convenient sidebar interface, BrainyAI provides AI chat aggregation, AI search, AI reading, and enhanced AI web browsing features. It supports multiple large language models, such as GPT3.5, GPT4, and prioritizes user privacy. All chat history, settings, and login data are securely stored on the user's local device.

Awesome-ChatTTS is an open-source project aimed at providing FAQs and resource compilations related to the ChatTTS project, helping users quickly get started and resolve potential issues during use. The project not only compiles detailed installation guides and parameter descriptions but also provides examples of various voice seeds and auxiliary materials such as video tutorials.

Tap4 AI Web UI is an open-source AI tool directory built upon Tap4 AI Tools Directory. This project aims to empower everyone to easily construct their own AI tool directory. You can fork the project, deploy it to Vercel with one click, and update your own AI tools through the provided dataList.

awesome-LLM-resources is a platform that aggregates global resources for large language models (LLMs), offering a range of tools and resources from data acquisition and fine-tuning to inference, evaluation, and real-world applications. Its significance lies in providing researchers and developers with a comprehensive resource library to facilitate the efficient development and optimization of their language models. Maintained by Wang Rongsheng, the platform is continuously updated, providing robust support for the advancement of the LLM field.

Geekits is an open-source and free platform created by YGeeker, providing a suite of practical tools across various domains including Artificial Intelligence, Everyday Use, Image and Video Processing, and Programming Development. It offers convenient services for general users while also providing programming-related support for developers. The main advantages of Geekits lie in its diversity and practicality, allowing users to find tools ranging from simple everyday utilities to professional development aids, greatly enhancing work and life efficiency.

Hoody AI is a privacy-focused unified interface designed to provide anonymous access to a range of large language models (LLMs). Users can easily access multiple AI models and functions while maintaining anonymity. The platform employs advanced encryption methods to ensure data security and supports anonymous payments, protecting users' identities from being tracked. It features an intuitive, responsive dashboard that supports cross-platform access on both mobile and desktop devices.

AIbase is a comprehensive platform with an extensive database of over 7,000 outstanding artificial intelligence websites and products across more than 40 different fields, such as AI-generated art, AI copywriting, AI video editing, and AI-driven marketing. Users can easily find the AI tools that best meet their needs and unlock the power of AI.

QAbot-zh/query-key is a pure front-end API testing tool that supports various API formats such as oneapi/newapi and can also verify OpenAI formatted APIs. The main advantage of this tool lies in its front-end implementation, eliminating concerns about gateway timeouts while ensuring data security. It provides comprehensive test data displays, including response times and model consistency, allowing users to intuitively understand API performance. Additionally, it supports local one-click execution and online hosting via pages, making it convenient for users to deploy and use quickly.

gmft is a toolkit designed to convert tables in PDFs into various formats. It is lightweight, modular, and delivers exceptional performance. gmft relies on Microsoft's Table Transformers, recognized as one of the best-performing and most reliable solutions among many alternatives. It operates without the need for a GPU, offering high throughput and easy installation, requiring only a single line of code. It utilizes PyPDFium2, favored for its high throughput and permissive licensing. The training model TATR used by gmft is trained on the diverse dataset PubTables-1M, ensuring high reliability.

Understanding Deep Learning is a classic textbook in the field of deep learning, written by Simon J.D. Prince and published by MIT Press on December 5, 2023. This book covers many key concepts in the field of deep learning, suitable for beginners and experienced developers to read. This repository provides the Chinese translation of the book, which is machine-translated using ChatGPT and reviewed by humans to ensure accuracy.

Awesome-Claude-Artifacts is a GitHub repository dedicated to collecting and showcasing interesting and substantive content generated by Anthropic's AI assistant, Claude, during conversations. This can include code snippets, Markdown documents, HTML pages, SVG images, Mermaid diagrams, or React components. The platform encourages community members to share Claude Artifacts they find interesting, useful, or creative, and provides detailed contribution guidelines.