GitHub Trends

#python#agent_framework#data_analysis#deep_research#deep_search#llms#multi_agent_system#nlp#public_opinion_analysis#python3#sentiment_analysis You can use the "Weibo Public Opinion Analysis System" (called "微舆") to automatically analyze public opinion from over 30 major social media platforms and millions of comments. It uses AI agents working together to monitor, search, analyze text and videos, and generate detailed reports based on real-time data. The system supports easy setup, custom models, and integration with your own databases, helping you understand public sentiment, trends, and make better decisions. It offers continuous monitoring, deep multi-angle analysis, and flexible report generation, all accessible by simply asking questions like chatting. This saves you time and gives clear insights into public opinion dynamics. https://github.com/666ghj/BettaFish

#python This AWS DevOps course helps you learn AWS in 30 days. Each day focuses on a different topic, like setting up AWS accounts, using IAM for security, and working with EC2 instances. You'll also learn about networking, security, and how to deploy applications. The course includes projects, such as setting up a secure VPC and deploying a web application. By the end, you'll have practical skills and knowledge to work with AWS in a DevOps environment, which can help you get a job in this field. https://github.com/iam-veeramalla/aws-devops-zero-to-hero

#python#agent#agentic_ai#llm#mlops#reinforcement_learning Agent Lightning is a tool that helps improve AI agents using reinforcement learning. It allows you to train your agents without making big changes to their code, which is very convenient. You can use it with many different frameworks like LangChain or OpenAI Agent SDK. It also supports various training methods, including reinforcement learning and automatic prompt optimization. This means you can make your agents better at their tasks without a lot of extra work. https://github.com/microsoft/agent-lightning

#python NVIDIA Isaac Sim is a powerful simulation platform that helps you develop, test, and train AI-powered robots in realistic virtual environments using high-quality physics and graphics. It supports importing robot models, simulates accurate robot movements and sensors like cameras and LiDAR, and integrates with tools like ROS for robotics control. You can generate synthetic data, run reinforcement learning, and create digital twins to test robots before real-world deployment. This saves time and cost by allowing you to experiment and improve robot designs safely and efficiently in a virtual space, speeding up development and increasing success in real applications. https://github.com/isaac-sim/IsaacSim

#python#airtable#airtable_alternative#airtable_replacement#application_builder#automations#dashboards#database#low_code#no_code#no_code_database#no_code_platform#online_database#postgresql#restful_api#self_hosted#spreadsheet Baserow is a powerful, open-source tool that lets you build databases and applications without coding. It offers full control over your data and environment, allowing self-hosting and customization. Unlike Airtable, Baserow doesn't limit your data storage or API calls, making it ideal for large projects. It combines the ease of a spreadsheet with advanced data management features, including dashboards and automation tools. This gives users complete ownership of their data and avoids vendor lock-in, making it a great choice for businesses needing flexibility and scalability. https://github.com/baserow/baserow

#python torchforge is a PyTorch-based library designed to simplify reinforcement learning (RL) by separating algorithm design from infrastructure management. It offers clear RL building blocks that let you focus on creating and modifying RL algorithms without worrying about complex system details like resource handling or communication. It supports rapid research, easy customization, and scalable training across many GPUs. Although still experimental, it helps you run RL experiments more efficiently and flexibly, especially if you want to scale up or control training processes finely. This saves you time and effort, letting you concentrate on improving your RL models. Installation requires PyTorch 2.9.0 and related tools, with tutorials coming soon. https://github.com/meta-pytorch/torchforge

#python#ant_colony_algorithm#artificial_intelligence#fish_swarms#genetic_algorithm#heuristic_algorithms#immune#immune_algorithm#optimization#particle_swarm_optimization#pso#simulated_annealing#travelling_salesman_problem#tsp You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself. https://github.com/guofei9987/scikit-opt

#python#blind_watermark#image_processing#watermark#watermark_image You can add invisible watermarks to images using a Python tool based on DWT-DCT-SVD techniques, which hides your watermark securely without changing the image's appearance. This watermark can be embedded and later extracted even if the image is rotated, cropped, resized, or altered by noise or brightness changes. You can use it easily via command line or Python code, protecting your images from unauthorized use while keeping them visually unchanged. This helps prove ownership and maintain image authenticity without affecting quality or usability. The tool supports embedding text, images, or bit arrays as watermarks and works on Windows, Linux, and macOS. https://github.com/guofei9987/blind_watermark

#python#awesome#awesome_list#lecture_notes#list#mathematics You can access a huge, well-organized collection of free math resources covering all levels and topics, from basic arithmetic to advanced university subjects like algebra, calculus, and topology. It includes online courses, textbooks, lecture notes, videos, tools, and problem-solving sites. This helps you learn math step-by-step, find explanations, practice problems, and explore specialized areas easily. Using these resources can improve your understanding, support self-study, and provide tools for teachers and students to engage with math effectively. Many resources are interactive and free, making math learning accessible and flexible. https://github.com/rossant/awesome-math

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

#python#text_to_speech#tts#voice_clone#zero_shot_tts OpenVoice is a free, open-source tool that lets you clone any voice using just a short audio sample, then generate speech in that voice across many languages and accents[1][5][8]. You can fine-tune how the voice sounds—adjusting emotion, accent, rhythm, pauses, and intonation—to match your needs[1][3][5]. A major benefit is “zero-shot” cloning: you can make the cloned voice speak languages it was never trained on, which is rare in voice AI[1][3][4]. The latest version, OpenVoice V2, offers even better sound quality, supports six major languages natively, and is free for both personal and commercial use[1]. This makes it easy and affordable for anyone to create realistic, customizable voice content without needing technical expertise or expensive software. https://github.com/myshell-ai/OpenVoice

#python Kronos is an open-source AI model specially made to understand and predict financial market data called K-lines (candlestick charts) from over 45 global exchanges. It uses a unique method to turn complex market data into simpler tokens, then learns patterns with a powerful Transformer model. This helps Kronos forecast prices, volatility, and generate realistic synthetic data better than previous models. You can easily use Kronos to make forecasts with just a few lines of code, and it supports batch predictions for multiple assets. It also allows fine-tuning on your own data to improve accuracy for your specific market needs, making it a valuable tool for financial analysis and trading strategies. https://github.com/shiyu-coder/Kronos