Sprucely.io is a flexible platform service that automates your data insights pipeline. It takes data from a multitude of sources and creates interactive decision intelligence to share or integrate with your services. In seconds.
Central to the concept of Sprucely is a modern web architecture and a platform service that define, store and serve datasets and dashboards. You can see Sprucely as the engine that controls the data pipeline and all the associated infrastructure. It will seamlessly serve users, your Web pages and your document resources with the data intelligence reports that you decide to share.
But Sprucely is a lot more. It automatically generates data intelligence based on the context you provide. It is an ecosystem where you can use Connector applications to integrate with your favourite productivity tools such as Microsoft Powerpoint. Or you can create your own integration to Sprucely using REST APIs.
Based on our record, PyTorch seems to be more popular. It has been mentiond 112 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 4 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 3 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 10 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 18 days ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / 26 days ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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