Best of Computer Vision2023

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    Article
    Avatar of hackernoonHacker Noon·3y

    50 + Python Projects (10 Lines of Code)

    GitHub repository features 50+ Python applications with only 10 lines of code. Author is a Machine Learning Researcher, currently working in IBM. Taught 20,000+ students & working professionals to crack coding interviews and land their dream job.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Open Source AI Projects and Tools to Try in 2023

    Open Source AI Projects and Tools to Try in 2023. Open Source AI projects and tools can be used to build and train AI models. TensorFlow is an open-source framework for machine learning.

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    Article
    Avatar of aiplainenglishAI in Plain English·3y

    Machine Learning: Must Do Projects for Beginners

    Machine Learning: Must Do Projects for Beginners. We will examine some of the most well-liked machine learning datasets and models in this article. In the next sections, we will discuss several datasets and the models that may be used in that exercises.

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    Article
    Avatar of communityCommunity Picks·3y

    vinta/awesome-python: An opinionated list of awesome Python frameworks, libraries, software and resources.

    An opinionated list of awesome Python frameworks, libraries, software and resources.

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    Article
    Avatar of tnwThe Next Web·3y

    New GPT-4 app can be ‘life-changing

    A new app integrated with GPT-4's image-recognition abilities has been described as 'life-changing' by visually-impaired users. The app, called Be My Eyes, has a feature called 'Virtual Volunteer' which uses object-recognition technology to answer questions about images sent to it. The new functionality of GPT-4 allows it to analyze both images and text as inputs, providing superior image recognition and improved conversational capabilities.

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    Article
    Avatar of medium_jsMedium·3y

    Build your own face recognition system with python in minutes

    Build your own face recognition system with python in minutes. The concept is known as one shot learning. It is different from traditional image recognition models in a sense, that you are only required to have one picture of a person whom you want to recognize, and you don't need to ‘train the model’ to recognize.

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    Article
    Avatar of taiTowards AI·3y

    A Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples

    Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.

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    Article
    Avatar of freecodecampfreeCodeCamp·3y

    The Difference Between AI and Machine Learning

    Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning. Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence. I'll explain how Machine Learning fits into AI as a field.

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    Article
    Avatar of pointerPointer·3y

    facefusion/facefusion: Next generation face swapper and enhancer

    FaceFusion is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing. The developers are aware of its possible unethical applications and are committed to take preventative measures against them.

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    Article
    Avatar of taiTowards AI·3y

    Understanding LangChain 🦜️🔗: PART 1

    Langchain is an innovative framework that is revolutionizing the way we develop applications powered by language models. Langchain uses the language models to interact and adapt to their environment with ease. The idea here is to chain every module in one chain and, at last, use that chain to call all modules at once.

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    Article
    Avatar of dzDZone·3y

    10 Artificial Intelligence Tasks You Didn’t Know AI Could Do

    Discover the various tasks that AI can assist with, learn how AI works, and explore some amazing things that AI can do.

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    Article
    Avatar of mlnewsMachine Learning News·3y

    This Artificial Intelligence Research Introduces A Vision-Language-Commonsense Transformer Model That Incorporates Contextualized Commonsense For External Knowledge Visual Questioning Tasks

    This Artificial Intelligence Research Introduces A Vision-Language-Commonsense Transformer Model that Incorporates Contextualized Commonsense For External Knowledge Visual Questioning Tasks. The field of “Visual Question Answering’ (VQA) focuses on developing AI systems that can correctly respond to queries asked in a conversational tone.

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    Article
    Avatar of hrbHEARTBEAT·3y

    Understanding Popular Algorithms in Deep Learning

    Deep learning allows machines to learn from vast amounts of data and carry out complex tasks that were previously only considered possible by humans. Deep learning is based in algorithms that let computers learn from data and get better over time. In this article, we will examine some different popular deep learning algorithms and how they operate.

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    Article
    Avatar of mlnewsMachine Learning News·3y

    Best Image Annotation Tools in 2023

    Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included in the image. Markup Hero is an easy-to-use, flexible, and powerful image annotation tool ideal for real-time collaborative and visual communication.

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    Article
    Avatar of developercomDeveloper.com·3y

    7 Best Python Libraries for Machine Learning and AI

    7 Best Python Libraries for Machine Learning and AI Artificial intelligence (AI) and machine learning (ML) are both popular fields in software development. This tutorial will highlight the best AI, ML and deep learning Python libraries that programmers, data scientists, and researchers can use to build intelligent applications and solve complex problems.

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    Article
    Avatar of mlnewsMachine Learning News·3y

    Meet Spectformer: A Novel Transformer Architecture Combining Spectral And Multi-Headed Attention Layers That Improves Transformer Performance For Image Recognition Tasks

    The paper highlights how SpectFormer’s proposed architecture can better capture appropriate feature representations and improve Vision Transformer (ViT) performance. The team has made two contributions to the field: first, they suggest SpectFormer, a novel design that blends spectral and multi-headed attention layers to enhance image processing efficiency.