GitHub Trends

#python#agent#agentic_ai#grpo#kimi_ai#llms#lora#qwen#qwen3#reinforcement_learning#rl ART is a tool that helps you train smart agents for real-world tasks using reinforcement learning, especially with the GRPO method. The standout feature is RULER, which lets you skip the hard work of designing reward functions by using a large language model to automatically score how well your agent is doing—just describe your task, and RULER takes care of the rest. This makes building and improving agents much faster and easier, works for any task, and often performs as well as or better than hand-crafted rewards. You can install ART with a simple command and start training agents right away, even on your own computer or with cloud resources. https://github.com/OpenPipe/ART

#python#documentation#gotchas#interview_questions#pitfalls#python#python_interview_questions#snippets#wats#wtf Python is a high-level, easy-to-read programming language widely used in many fields like web development, data science, and AI. The "What the f*ck Python?" project helps you understand tricky, surprising Python behaviors through clear examples and explanations. It reveals lesser-known features and common pitfalls, making it easier to write better code and debug problems. By exploring these examples, you can deepen your knowledge of Python’s internals, improve your coding skills, and avoid common mistakes, which benefits both beginners and experienced programmers alike[3]. https://github.com/satwikkansal/wtfpython

#python#apps#business#erp#management#odoo#odoo_apps#python Odoo is a powerful, open-source business software that combines many tools like CRM, website building, eCommerce, inventory, accounting, and more into one easy-to-use platform. You can pick and choose only the apps you need, making it flexible and cost-effective. It helps you manage all parts of your business in one place, improving efficiency, reducing errors, and giving you real-time data for better decisions. Its user-friendly design means your team can learn it quickly, and it grows with your business as you add more features. This saves you time, cuts costs, and boosts productivity. https://github.com/odoo/odoo

#python Agentic Document Extraction is a Python library that makes it easy to pull out structured data—like tables, charts, and text—from complex documents such as long PDFs or images, using advanced AI that understands both the content and layout. It automatically splits big files, processes them in parallel, and handles errors or rate limits, so you don’t have to worry about technical details. The benefit is that you get fast, accurate, and organized results—ready for analysis or automation—without needing to write lots of code or manage tricky document formats yourself[1][2][3]. https://github.com/landing-ai/agentic-doc

#cplusplus#bindings#python **pybind11** is a tool that helps connect C++ and Python. It allows you to use C++ code in Python and vice versa. This means you can take advantage of C++'s speed and Python's ease of use. **pybind11** is lightweight and easy to use, making it simpler to create Python bindings for C++ code compared to older tools like Boost.Python. It supports many C++ features and works on multiple platforms, including Windows, Linux, and macOS. Using **pybind11** can make your programs smaller and faster to compile. https://github.com/pybind/pybind11

#python#agent#ai#biomedicine Biomni is a powerful AI tool designed to help biomedical researchers by automating complex tasks like gene analysis, drug testing, and data interpretation. It uses advanced language models combined with smart planning and coding to perform diverse research activities without needing preset instructions. This means you can ask Biomni to plan experiments, analyze data, or predict drug properties using simple natural language commands, saving you time and boosting productivity. Biomni is open for community contributions, allowing users to add new tools and datasets, and it offers a no-code web interface for easy access. This helps you accelerate scientific discovery and generate new testable ideas efficiently[1]. https://github.com/snap-stanford/Biomni

#python AI agents are powerful tools that can interact with the outside world, doing tasks like drafting emails or booking appointments. They can be very effective without needing a lot of code, but you can also create more complex applications by combining multiple agents. Learning about AI agents can help you create incredible software and transform businesses. By joining an AI Agents Masterclass, you can learn how to use these agents to achieve big goals and make your work easier and more efficient. This can help you dream big and create amazing things with AI https://github.com/coleam00/ai-agents-masterclass

#python#3d_reconstruction#3d_vision#monocular_depth_estimation#monocular_geometry_estimation MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes. https://github.com/microsoft/MoGe

#python#agent#alibaba#artificial_intelligence#information_seeking#llm#multi_agent#rag#web_agent You can use advanced AI models like WebSailor and WebDancer from Alibaba's Tongyi Lab to perform complex web tasks such as searching, browsing, and answering questions automatically. These models are trained to think deeply and handle difficult information-seeking tasks that were hard before. WebSailor excels in reasoning and can solve very challenging problems, while WebDancer learns to search and reason on its own through a special training process. Using these tools helps you get accurate, multi-step answers from the web quickly and efficiently, saving you time and effort in research or information gathering. They are open-source and come with demos to try out easily[3]. https://github.com/Alibaba-NLP/WebAgent

#python#information_gathering#instagram#instagram_scraper#open_source_intelligence#osint#osint_tools#python Toutatis is a tool that helps you get information from Instagram accounts. It can find details like emails, phone numbers, and more. To use it, you need Python 3 and an Instagram session ID. You can install it using PyPI or GitHub. Once installed, you can use it to find information by username or Instagram ID. This tool is useful for professionals who need to gather data from Instagram accounts quickly and easily. https://github.com/megadose/toutatis

#other#artificial_intelligence#artificial_intelligence_projects#awesome#computer_vision#computer_vision_project#data_science#deep_learning#deep_learning_project#machine_learning#machine_learning_projects#nlp#nlp_projects#python You can access a huge, constantly updated list of over 500 artificial intelligence projects with ready-to-use code covering machine learning, deep learning, computer vision, and natural language processing. This collection includes projects for beginners and advanced users, with links to tutorials, datasets, and real-world applications like chatbots, healthcare, and time series forecasting. Using this resource helps you learn AI by doing practical projects, speeding up your coding skills, and building a strong portfolio for jobs or research. It saves you time searching for quality projects and gives you tested, working code to study and modify. https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

#typescript#agents#agi#ai#api#backend#developer_tools#framework#genai#javascript#python#ruby Motia is a modern backend framework that helps simplify complex systems by combining APIs, background jobs, events, and AI agents into one unified system. It allows developers to write code in multiple languages like JavaScript, TypeScript, and Python, all within the same project. This makes it easier to manage and deploy applications, reducing complexity and errors. With Motia, you get built-in observability and one-click deployments, making it easier to monitor and debug your workflows. This means you can focus on your business logic without worrying about the underlying infrastructure. https://github.com/MotiaDev/motia