#python #artificial_intelligence #attention_mechanism #computer_vision #image_classification #transformers

This text describes a comprehensive implementation of Vision Transformers (ViT) in PyTorch, offering various models and techniques for image classification. Here’s the key information and benefits**
- The repository provides multiple ViT variants, including the original ViT, Simple ViT, NaViT, Deep ViT, CaiT, Token-to-Token ViT, CCT, Cross ViT, PiT, LeViT, CvT, Twins SVT, RegionViT, CrossFormer, ScalableViT, SepViT, MaxViT, NesT, MobileViT, XCiT, and others.
- Each variant introduces different architectural improvements such as efficient attention mechanisms, multi-scale processing, and innovative embedding techniques.
- The implementation includes pre-trained models and supports various tasks like masked image modeling, distillation, and self-supervised learning.

**Benefits** Users can choose from a wide range of ViT models tailored for different needs, such as efficiency, performance, or specific tasks.
- **Performance** Some models, like NaViT and ScalableViT, are designed to be more efficient in terms of computational resources and training time.
- **Ease of Use** The inclusion of various research ideas and techniques allows users to explore new approaches in vision transformer research.

Overall, this repository offers a powerful toolkit for anyone working with vision transformers, providing both practical solutions and cutting-edge research opportunities.

https://github.com/lucidrains/vit-pytorch

#other #cc_by #collection #computer_science #educational #novice

Joining a community for software developers can greatly benefit your career and personal life. You gain access to a wealth of resources, including tutorials, books, and videos on various programming topics such as algorithms, data structures, security, and more. These resources help you improve your skills, stay updated with industry trends, and enhance your problem-solving abilities. Additionally, you can find guidance on career development, resume building, and remote work opportunities. This community support can give you more control over your life and career by providing the tools and knowledge you need to succeed.

https://github.com/mtdvio/every-programmer-should-know

#rust #computer_vision #cpp #multimodal #python #robotics #rust #visualization

Rerun is a tool that helps you understand and improve complex processes by logging and visualizing multimodal data like images, 3D points, text, and more. It's useful in areas such as robotics, simulation, and computer vision. You can easily log data using the Rerun SDK in C++, Python, or Rust and visualize it in real-time or save it for later. This helps you debug issues, like why a robot might be malfunctioning, by seeing all the data streams over time. Rerun also allows you to extract clean datasets for training models, making it a powerful tool for development and research. It's free, open-source, and easy to get started with, requiring no account setup.

https://github.com/rerun-io/rerun

#python #annotation #annotation_tool #annotations #boundingbox #computer_vision #computer_vision_annotation #dataset #deep_learning #image_annotation #image_classification #image_labeling #image_labelling_tool #imagenet #labeling #labeling_tool #object_detection #pytorch #semantic_segmentation #tensorflow #video_annotation

CVAT is a powerful tool for annotating videos and images, especially useful for computer vision projects. It helps developers and companies annotate data quickly and efficiently. You can use CVAT online for free or subscribe for more features like unlimited data and integrations with other tools. It also offers a self-hosted option with enterprise support. CVAT supports many annotation formats and has automatic labeling options to speed up your work. It's widely used by many teams worldwide, making it a reliable choice for your data annotation needs.

https://github.com/cvat-ai/cvat

#jupyter_notebook #computer_vision #ethical_hacking #face_detection #machine_learning #natural_language_processing #network_analysis #network_programming #network_security #programming_tutorial #python #python_tutorials #python3 #scapy #scapy_tutorials #socket_programming #text_classification #tutorials #web_scraping

This repository offers a wide range of Python tutorials and projects, covering various topics such as ethical hacking, machine learning, web scraping, GUI programming, game development, and more. You can learn how to perform network manipulation, build machine learning models, scrape websites, create GUI applications, develop games, and much more. The tutorials are well-structured and include code examples, making it easy to follow along and implement the projects yourself. This resource is beneficial for both beginners and advanced users looking to expand their Python skills in different areas.

https://github.com/x4nth055/pythoncode-tutorials

#other #aws #cloud_computing #coding_interviews #computer_science #interview_questions #software_architecture #software_development #software_engineering #system_design #system_design_interview

This resource, "System Design 101," is designed to help you understand complex systems using simple terms and visuals. Here’s the key benefit It explains various system design concepts, such as communication protocols (REST, GraphQL, gRPC), CI/CD pipelines, architecture patterns (MVC, MVP, MVVM), database systems, caching strategies, microservice architecture, payment systems, DevOps tools (Kubernetes, Docker), and security mechanisms (HTTPS, OAuth 2.0) in an easy-to-understand manner.
- **Practical Examples** The resource uses diagrams and images to make complex technical topics more accessible and easier to comprehend.

Overall, this resource helps you prepare for system design interviews or simply understand how systems work, making it a valuable tool for developers and engineers.

https://github.com/ByteByteGoHq/system-design-101

#cplusplus #computer_graphics #differentiable_programming #gpu #gpu_programming #sparse_computation #taichi

Taichi Lang is a powerful programming language for high-performance numerical computations. It is easy to use because it looks a lot like Python, so you don't need to learn a new language. Taichi Lang can run your code on both GPUs and CPUs, making it very fast. It also works on many different platforms, so you can write your code once and run it anywhere. This makes it great for things like real-time simulations, artificial intelligence, and visual effects in films and games. To get started, you can simply install it using `pip install taichi` and start coding right away. This helps you create complex simulations and computations quickly and efficiently.

https://github.com/taichi-dev/taichi

#other #algorithm #algorithms #coding_interview #coding_interviews #computer_science #data_structures #interview #interview_prep #interview_preparation #programming_interviews #software_engineering #study_plan

This study plan is designed to help you prepare for technical interviews at large software companies like Amazon, Facebook, Google, and Microsoft. Here’s the key information and benefits The plan covers a wide range of computer science topics, ensuring you are well-prepared for various types of technical interviews.
- **Practical Application** The plan advises on how to focus your study time effectively, avoiding unnecessary details and emphasizing retention techniques like flashcards.
- **Career Advancement**: By following this plan, you can gain the skills and confidence needed to secure a job as a software engineer at top tech companies.

Overall, this study plan is a structured approach to learning and practicing computer science fundamentals, making it easier to prepare for and succeed in technical interviews.

https://github.com/jwasham/coding-interview-university

#other #architecture #awesome #awesome_list #backend #big_data #computer_science #design_patterns #devops #distributed_systems #interview #interview_practice #interview_questions #lists #machine_learning #programming #resources #scalability #system #system_design #web_development

This resource provides a comprehensive guide to building scalable, reliable, and performant large-scale systems. Here are the key benefits It offers detailed articles and case studies from prominent engineers on how to design systems that can handle heavy loads and perform well for both single users and millions of users.
- **System Design Interviews** It covers how to scale teams effectively, focusing on increasing team output and value rather than just growing the team size.
- **Community Contributions** The resource covers a wide range of topics including scalability, availability, stability, performance, intelligence, architecture, and more, providing a holistic view of system engineering.

Overall, this guide is invaluable for anyone looking to build or maintain large-scale systems efficiently.

https://github.com/binhnguyennus/awesome-scalability

#jupyter_notebook #ai #computer_vision #computervision #deep_learning #deep_neural_networks #deeplearning #machine_learning #opencv #opencv_cpp #opencv_library #opencv_python #opencv_tutorial #opencv3

Learning OpenCV and AI can greatly benefit your career by opening up opportunities in fields like autonomous vehicles, healthcare, and robotics. OpenCV University offers comprehensive courses that teach computer vision and deep learning using frameworks like PyTorch. These courses are project-based, providing hands-on experience with real-world applications. By mastering these skills, you can develop innovative solutions and even start your own AI company. The courses are accessible to beginners and offer lifetime access for continuous learning.

https://github.com/spmallick/learnopencv

#jupyter_notebook #computer_vision #deep_learning #inference #machine_learning #openvino

OpenVINO Notebooks are a collection of interactive Jupyter notebooks that help developers learn and experiment with the OpenVINO Toolkit. These notebooks provide an introduction to OpenVINO basics and show how to optimize deep learning inference using the API. They can be run on various platforms, including Windows, Ubuntu, macOS, and cloud services like Azure ML or Google Colab. This makes it easy for users to get started with AI development without needing extensive hardware knowledge, allowing them to focus on building applications efficiently across different devices.

https://github.com/openvinotoolkit/openvino_notebooks

#jupyter_notebook #cnn #colab #colab_notebook #computer_vision #deep_learning #deep_neural_networks #fourier #fourier_convolutions #fourier_transform #gan #generative_adversarial_network #generative_adversarial_networks #high_resolution #image_inpainting #inpainting #inpainting_algorithm #inpainting_methods #pytorch

LaMa is a powerful tool for removing objects from images. It uses special techniques called Fourier Convolutions, which help it understand the whole image at once. This makes it very good at filling in large areas that are missing. LaMa can even work well with high-resolution images, even if it was trained on smaller ones. This means you can use it to fix photos where objects are in the way, making them look natural and complete again.

https://github.com/advimman/lama

#python #agent_computer_interface #ai_agents #computer_automation #computer_use #grounding #gui_agents #in_context_reinforcement_learning #memory #mllm #planning #retrieval_augmented_generation

Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively.

https://github.com/simular-ai/Agent-S

#typescript #agent #browser_use #computer_use #electron #gui_agents #mcp #mcp_server #vision #vite #vlm

Agent TARS is a powerful tool that helps automate tasks using AI. It integrates with many tools and can handle complex tasks like web scraping and data analysis. This makes it easier to manage workflows and reduces errors. Users can automate tasks in just a few steps, making it very efficient. Agent TARS also supports advanced browser operations and has a user-friendly desktop app, which makes it easy to use for anyone. Overall, it helps users save time and work more efficiently.

https://github.com/bytedance/UI-TARS-desktop

#python #agent #ai_agent #apple #computer_use #cua #lume #macos #manus #operator #swift #virtualization #virtualization_framework

The information provided doesn't directly relate to Discord bots or their benefits. However, if we consider the broader context of automation and AI tools like those mentioned in the text, these technologies can enhance user experiences by automating tasks and providing interactive features. For example, AI agents can control virtual environments, which might be useful in various applications, including gaming or educational settings. This kind of automation can save time and increase efficiency, similar to how Discord bots automate tasks and engage communities[1][2].

https://github.com/trycua/cua

#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

#other #awesome_list #brasil #ciencia_da_computacao #computer_science #curriculo #cursos #hacktoberfest

The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers.

https://github.com/Universidade-Livre/ciencia-da-computacao

#python #agents #ai #ai_ux #autogen #browser_use #computer_use_agent #cua #ui

Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows.

https://github.com/microsoft/magentic-ui

#typescript #agent #agentic_ai #agents #ai #ai_agents #ai_tools #anthropic #automation #bytebot #computer_use #computer_use_agent #cua #desktop #desktop_automation #docker #gemini #llm #mcp #openai

Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work.

https://github.com/bytebot-ai/bytebot

#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