#GitHub

AutoScraper provides an efficient solution for automatic web scraping in Python, known for its user-friendly operation, speed, and minimal resource usage. It learns scraping patterns from provided data or URLs to gather similar content from additional pages. Compatible with Python 3, installation is possible through Git or PyPI. It's effective for retrieving data like StackOverflow question titles or Yahoo Finance stock prices. The tool supports custom requests with proxies or headers for greater flexibility. Model saving/loading enhances reusability, while tutorials offer guidance for advanced applications including API development with Flask.

Discover a wide array of resources covering machine learning, Golang, PostgreSQL, and distributed systems, organized into detailed chapters for comprehensive understanding. The project embraces collaboration and accuracy by welcoming pull requests for content improvement. By interacting with translated materials, learners can effectively enhance their programming and database skills. This platform integrates educational content with a community feedback loop, forming an essential hub for technology learners and professionals.

LlamaIndex provides solutions for effective data organization and retrieval using advanced indexing approaches. Ideal for developers seeking efficiency, it offers easy integration, robust support, and continuous updates, supported by a diverse community. Explore unique features to boost productivity and technical innovation.

This lightweight and dependency-free JavaScript library facilitates interaction with Claude AI's unofficial API, enabling the initiation of conversations, file uploads, and chat management. It supports all Claude models and employs a versatile isomorphic design alongside modern async/await syntax and comprehensive test coverage. Although recent API restrictions have posed challenges, the project maintains updates with new features including proxy configuration and improved conversation handling. The solution is installable via npm for both CLI and API, offering functions for initiating and managing dialogues, and supporting file uploads. Community contributions are encouraged to enhance its capabilities.

This open-source project provides a versatile WebUI toolkit designed to manage language model workflows effortlessly. Users can create custom models and applications without coding, in environments like Python and CUDA. The toolkit features robust modules, including APIs for prominent language models such as OpenAI and Baidu's Wenxin Yiyan. It supports functionalities including chat, image generation, dataset processing, and embedding models. Key features include role-play settings with memory and background libraries, and compatibility with large-scale models like ChatGLM and Phoenix-Chat. Operating under the AGPL-3.0 license, it encourages community involvement and shared development.

A structured study guide for software engineers aiming to advance into machine learning, prioritizing practical application with minimal emphasis on complex mathematics. Suitable for individuals without a computer science degree, it presents a clear path covering key skills, project experiences, and theoretical understanding essential for machine learning roles. It encompasses resources including books for beginners and advanced video tutorials to build proficiency in tackling real-world challenges.

This project details the release and characteristics of global large language models, providing a valuable resource for both open-source and closed-source LLMs developed after ChatGPT. It gathers essential data such as model sizes, supported languages, domains, and training datasets, alongside links to GitHub repositories, HuggingFace models, and academic publications. Regular updates keep users informed, with an invitation for contributions to enhance this dataset. Ideal for researchers and developers interested in the dynamics of natural language processing models.

Learn how to participate in the open-source community by contributing to Microsoft Azure's documentation. This guide covers necessary prerequisites like setting up a GitHub account and acquiring essential authoring tools. Understand licensing requirements and the Open Source Code of Conduct to foster a constructive collaboration. Discover how to identify documentation issues and improve content quality.

The project mimics response streaming akin to perplexity.ai, offering an interactive demo to showcase its features. A straightforward setup allows developers to launch a development server and access the tool via localhost, making it an efficient solution for enhancing web performance and user interactions in modern web applications.

Ollama4j is a Java library that simplifies integration with the Ollama server, enabling efficient model management. It supports easy installation via local setups or Docker and offers dependency management through Maven and GitHub. Explore comprehensive API specifications and continuously updated development features that ensure reliability and efficiency. Developers use Ollama4j across various applications, from data generation to Minecraft modifications. Contribute to this open-source project to expand and improve its multifaceted applications.

OasysDB is a developing database solution seeking community involvement and contributions. In its early stages, it aims to enhance functionality through active community engagement. The project welcomes feedback, feature requests, and suggestions via Discord while offering guidance on code contributions. Although still under development, experts are invited to help shape its future. It's not yet production-ready, but developers can test its features with community support.

This third-party app delivers a streamlined webview experience for chat.openai.com, making ChatGPT accessible directly on Android devices. Obtain the latest version from GitHub to interact with OpenAI's conversational AI effortlessly. This app enhances mobile accessibility by eliminating the need for extra browser actions.

The codex-readme project utilizes the OpenAI Codex to automate README.md file creation by compiling prompts from the starting segments of code files. This approach simplifies documentation, making it clear and concise. The tool is particularly useful for developers looking to optimize README generation with AI solutions. It is available under the MIT License, with contact options via GitHub or email for queries.

Access extensive deep learning documentation with PyTorch Chinese translations, offering optimized use for both GPU and CPU. Engage with the community to explore translated PyTorch 2.0 resources, and visit official sites for continuous updates. This initiative promotes the open dissemination of knowledge and encourages collaborative participation to enhance resource quality. Join the conversation through various platforms for feedback and contributions.

The project converts the MXNet code of 'Dive into Deep Learning' to TensorFlow2, specifically addressing the Chinese version. Endorsed by original authorship and incorporating PyTorch adaptation insights, it targets those keen on deep learning via TensorFlow2, demanding only fundamental math and coding skills. Accessible via web and local server through docsify, it invites contributions for ongoing enhancement, recognized as an educational asset by significant AI platforms.

This platform offers comprehensive resources including documentation and deployment guides, with a robust plugin system for easy integration. It supports multiple Python versions and encourages community contribution through a structured plugin submission process, providing an adaptable chat interface for varied communication requirements.

The resource provides an extensive overview of security and privacy challenges in large language models (LLMs), focusing on vulnerabilities like prompt injection, remote code execution, and adversarial attacks. It explores various attack taxonomies, benchmarks, and the susceptibility of applications to these threats. Regular updates on GitHub and Notion make it an essential reference for researchers and developers aiming to protect LLM applications, outlining key risks and potential mitigation strategies.

Uncover a wide range of open-source GitHub repositories centered on ChatGPT. This curated list provides insights into numerous projects such as prompts, CLIs, and NLP tools. With regular updates, it serves as a valuable resource for developers and researchers interested in improving ChatGPT solutions. A search tool is also available on Hugging Face Spaces for easier navigation. Contributions are encouraged, adhering to clear guidelines to maintain quality and uniformity. Stay informed with the latest developments within the ChatGPT ecosystem.

The project provides enhanced user experience in audio management with automatic installers and Docker support, facilitating seamless installation and updates. Compatibility with Python 3.10 is required, along with Git and ffmpeg, particularly for Windows installations. A comprehensive guide for manual Git installations and effective update processes is available. The project also includes a Google Colab notebook for interactive exploration, and customization through common command line flags. Engage with an active community on Discord for continuous support and updates. The tone is factual and avoids promotional language.

Repochat is a chatbot leveraging a Large Language Model to enable conversation about GitHub repositories. It supports both local and cloud-based installations, providing flexibility for different requirements. Features like file fragmentation, embedding processes, and memory retention offer deep engagement with repository content. Setup involves configuring a Python environment and integrating with models such as CodeLlama.

This catalog provides a carefully selected list of AI tools and platforms across various fields including image synthesis and multi-modal applications. Ideal for both developers and AI enthusiasts, it offers up-to-date information on the latest technologies. The focus is on delivering solutions for text, video, and audio projects to meet specific needs and boost creativity with advanced AI features. You can also contribute new resources to this expanding collection.

This Deno build of the OpenAI Node API supports straightforward integration and project setup. Developers can easily import the library and access up-to-date builds and documentation via the GitHub repository, allowing for efficient incorporation of advanced AI features into Deno projects.

Explore a collection of community-created workbenches and modules for FreeCAD that seamlessly integrate with the software. Note that these addons are not officially supported by the FreeCAD team, so it is recommended to check each addon's page for details before installation. Use the Addon Manager from FreeCAD v0.17.9940 for easy installation via the Tools menu, or opt for manual installation with earlier versions. Feedback can be provided on each addon’s page for developers. This repository significantly enhances FreeCAD's flexibility and capabilities.

This repository offers Jupyter Notebooks in alignment with Andrej Karpathy's 'Neural Networks: Zero to Hero' tutorial series. It delivers detailed insights into neural network fundamentals and advanced techniques, including GPT and GPT-2. The materials support learners in expanding their practical understanding of topics such as Micrograd, WaveNet, and GPT tokenization. Contributions to improve the repository are encouraged, fostering collaboration and continuous learning.

Explore how to effortlessly generate professional emails using this ChatGPT-powered app, despite its current inactivity due to API changes. For those interested in self-hosting, refer to the GitHub repository for setup instructions. This application, designed with user simplicity and efficiency in mind, illustrates the ease of email creation under the MIT License. Reach out to the developer for more information.

This extensive repository offers a curated collection of open-source GitHub packages focused on Chinese NLP. Covering topics like ChatGPT model evaluations, multi-modal models, and domain applications, it serves as a comprehensive toolkit. The repository is designed for ease of access and encourages community contributions with regular updates.

The project provides an efficient solution for translating texts in manga and images, mainly supporting Japanese with additional compatibility for Chinese, English, and Korean. Features include inpainting, text rendering, and colorization. It supports Python (>=3.8) and offers accelerated performance with NVIDIA GPU and docker. Flexible installation allows local or docker setups, supporting batch, demo, web, and API modes. Designed to engage hobbyists, it encourages community contributions and provides a user-friendly interface with sample images and an online demo.

Explore PyTorch's take on 'Dive into Deep Learning', transitioning from MXNet. This resource hosts detailed Jupyter notebooks and markdown documentation, tailored for beginners eager to explore deep learning with PyTorch. Providing various resource access methods, the project encourages user contributions without requiring deep learning expertise. Study advanced topics like CNNs, RNNs, and optimization algorithms through hands-on exercises.

Discover the Deep Reinforcement Learning resources offered by Hugging Face, featuring detailed mdx files and notebooks aimed at enhancing understanding of AI methodologies. The course includes a structured syllabus and in-depth lectures suitable for those interested in advancing their study of AI. Access comprehensive resources provided by field experts to deepen your learning of reinforcement learning techniques.

The search2ai project links large model APIs with internet functionality, enabling effective search, news access, and content summarization. It supports platforms such as OpenAI, Gemini, and Moonshot, available in both streaming and non-streaming forms. Deployment options include Zeabur, local servers, Cloudflare Worker, and Vercel, all without the need for plugins or key alterations. Improvements focus on speed, privacy-conscious code sharing, and extensive network queries. This project fits various AI use cases while preserving features such as image and speech processing, and can be easily configured for optimal performance through environment variables.

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.

This repository offers a meticulously curated selection of Chinese pretrained language models, including multimodal and large language models. It serves as a valuable resource for NLP researchers and practitioners, providing a range of models from foundational to specialized dialogue and multimodal conversation models. Regular updates ensure access to the latest models. Key features include various LLMS models like BERT and GPT, delivering general and domain-specific functionalities, along with evaluation benchmarks, online model trials, and open datasets for comprehensive NLP efforts.

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.

RepoChat-200k utilizes Claude's expansive 200k context for seamless interaction with GitHub repositories. It enables selective file use, language filtering, and precise token limit settings, all through an intuitive chat interface. With options for dynamic LLM models such as OpenRouter and OpenAI GPT, this tool facilitates efficient code generation and project understanding without relying on RAG.

This comprehensive repository provides key insights into Japanese Language Models (LLMs) and their evaluation benchmarks. Sourced from academic papers and public resources, it highlights predominantly Japanese-trained models and their diverse licensing options, covering open and limited-access models. Hosted on GitHub, it invites collaboration through GitHub Issues for updates or model additions, serving as a reliable resource for researchers interested in Japanese language model data.

Access a range of resources and insights from the Generative AI repository, designed for users at all levels. The project features a structured repository with daily video content, a glossary of essential terms, a roadmap, and interview preparation resources. Deepen your understanding of Generative AI through practical resources such as embedding models, AWS and Azure cloud integrations, and advanced decision flow charts. Whether investigating conversational analytics or working with Langchain and large language models, these resources support continuous learning in generative AI.

Participate in open and collaborative exchanges with ChatGPT, facilitating growth through diverse perspectives. This GitHub repository allows multiple users to engage with ChatGPT transparently, with all interactions and prompts publicly available and documented. Delve into AI concepts, programming guides, humor, scientific inquiries, and cultural topics. Utilizing GPT3.5&4, Rust, and WasmEdge, the platform promotes creative exploration and collective knowledge development in AI.

Discover a range of userscripts designed to optimize web interactions through AI integration, GitHub enhancement, and YouTube customization. These scripts allow for forum media concealment, radio button highlighting, and reverting YouTube to its traditional design. A userscript manager, such as Tampermonkey, is required to execute these scripts. Benefit from a personalized browsing experience that supports task streamlining and aesthetic preferences. Engage in discussions and keep track of script updates to continually meet your digital needs.

This comprehensive platform offers text-to-speech and audio generation with support for models such as Bark, Tortoise, and MusicGen. Recent system improvements include enhanced extension management, UI adjustments, and technical upgrades. Suitable for developers and general users, the platform facilitates easy integration and updates in audio generation.

Access NYU's Spring 2020 deep learning course featuring comprehensive video and text materials on a dedicated website. Learn how to set up a development environment using Miniconda and Jupyter for interactive data exploration. This multilingual resource serves a global audience interested in mastering deep learning techniques.

v2.11 of upscayl enhances image upscaling with improved clarity and detail, optimized for diverse needs. Offering a seamless experience, the update ensures sharper, more vibrant images available through official channels. This expands possibilities from digital art to photo restoration, serving both professionals and hobbyists.

GitHubDaily has been highlighting the significance of open source by curating popular GitHub projects since 2015. It aids developers in leveraging latest technologies, broadening their technical perspectives, and enhancing coding skills through open source code analysis. With a collection of over 3000 shared projects, GitHubDaily serves as a key resource for discovering open-source technical content, tools, and applications. The platform engages multiple social media channels to promote high-quality open-source projects and uncover future tech opportunities, helping developers keep pace with the latest GitHub advancements.

This page offers a neutral overview of the trends and advancements in deploying local Large Language Models (LLMs) as copilots for tasks like code completion and project generation. It examines their current experimental state in comparison to cloud-based alternatives, outlining challenges such as complexity in setup and high hardware requirements. With ongoing improvements in these models, advancements in code-completion tools are anticipated. Key features of local copilots include the potential for offline, private use, enhanced responsiveness, and the ability to specialize in specific languages and tasks. This comprehensive list is a valuable resource for developers investigating the landscape of local copilot technologies.

Explore a .NET library designed to easily incorporate OpenAI's API into applications. This library, driven by community efforts, facilitates the integration for developers aiming to leverage OpenAI's functions. It includes both core and experimental utility libraries, along with extensive documentation, API guides, and community forums on Discord and Reddit. Regular updates and sample projects support developers in utilizing OpenAI services effectively and securely. Keep up with detailed changelogs and engage with the growing .NET AI ecosystem.

DL-Simplified offers open-source neural network projects from beginner to expert levels, providing hands-on experiences to simplify deep learning concepts. With a focus on data-driven techniques and a structured contribution framework, it fosters knowledge sharing and community development in deep learning. Discover how to engage with multiple data representation levels and stay informed about ongoing contributions in this dynamic field.

Discover a curated range of resources designed to improve understanding and proficiency in C++11 and newer versions. This collection features works from notable authors such as Bjarne Stroustrup and Scott Meyers, insights into current C++ standards, and access to community discussions, podcasts, and educational videos. Enhance C++ development skills with suggested project templates, quality libraries, and effective instructional content suitable for both new and experienced developers.

Doocs provides an open-source platform for sharing development expertise, offering various projects and resources in backend programming. Key initiatives include LeetCode solutions, advanced Java interview materials, and JVM insights. Developers interested in contributing can join through GitHub or email, allowing them to enhance their technical skills in a collaborative environment.

Discover a curated collection of data science interview questions and answers, neatly categorized by topics such as machine learning, deep learning, statistics, and more. This repository serves as an excellent resource for refreshing data science fundamentals and effectively preparing for interviews by familiarizing with potential questions and their answers. The content is regularly updated to ensure ongoing relevance, making it a valuable tool for refining skills across different data science domains.

Discover open-source tools for efficient uptime tracking and status page management. Powered by Upptime, this repository provides a robust framework for live status updates using GitHub Actions. Contributors can explore a wide range of plugins, enriching the resource pool.

Discover a comprehensive collection of iOS development resources with articles, tutorials, and repositories. Covering essential topics like SwiftUI, ARKit, and CoreML, this hub is perfect for developers aiming to expand their skills. Regularly updated to serve as a key learning reference, it also addresses related areas such as Computer Graphics and Machine Learning for a complete understanding of modern app development.