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Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
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Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
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AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
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Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
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9 Products for "python prolog" with 4 filters applied:

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  • 1
    Gurobi Optimizer

    Gurobi Optimizer

    Gurobi Optimization

    With our powerful algorithms, you can add complexity to your model to better represent the real world, and still solve your model within the available time. Integrate Gurobi into your applications easily, using the languages you know best. Our programming interfaces are designed to be lightweight, modern, and intuitive, to minimize your learning curve while maximizing your productivity. Our Python API includes higher-level modeling constructs that make it easier to build optimization models...
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  • 2
    Jedi

    Jedi

    Jedi

    Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base...
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  • 3
    Sieve

    Sieve

    Sieve

    Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment...
    Starting Price: $20 per month
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  • 4
    Amazon CodeWhisperer
    ... for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.
    1 Rating
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  • 5
    pixray

    pixray

    Replicate

    ... typically complete within 7 minutes. The predicted time for this model varies significantly based on the inputs. pixray is also a python library and command-line utility. You can use Replicate for free, but after a bit, you'll be asked to enter your credit card. You pay by the second for the predictions you run. The price per second varies based on the hardware the model is run on. Different models run on different hardware.
    Starting Price: $0.0002 per second
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  • 6
    SuperDuperDB

    SuperDuperDB

    SuperDuperDB

    ...DuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands.
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  • 7
    Tensorlake

    Tensorlake

    Tensorlake

    ...'s serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.
    Starting Price: $0.01 per page
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  • 8
    Arcade

    Arcade

    Arcade

    ..., and security seamlessly. Developers work with a unified client interface (arcadepy for Python or arcadejs for JavaScript), facilitating tool execution and authorization without burdening application logic with credentials or API specifics. It supports secure deployments in the cloud, private VPCs, or on premises, and includes a control plane for managing tools, users, permissions, and observability.
    Starting Price: $50 per month
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  • 9
    Gemini Code Assist
    ...Script, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.
    1 Rating
    Starting Price: Free
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