ThingSpeak Reviews

PyTorch Reviews

ThingSpeak mentions (9)

• Kotlin/ Thingspeak Interfacing.

  First of all, you need to ask yourself how familiar you are with MatLab. Then from a dev point of view, could you use an API to reference cloud data then apply analytics. Great intro to IoT. I can see that company going far in 5-10 and may invest based on trajectory. Https://thingspeak.com. Source: 9 months ago

• Google sheets and esp32

  You can use solutions like thingspeak https://thingspeak.com/. Source: about 1 year ago

• Help me check my circuit for my self-sustaining water meter

  I'm not sure yet. Maybe something custom, but probably not. I was thinking about Thingspeak before. Source: about 1 year ago

• Displaying readings to website?

  I haven't got around to MQTT yet, but as an easy interim solution I recommend ThingSpeak https://thingspeak.com/ as you can set up an account for free and getting an ESP to send data to it is trivial. Plus you can access it via the web, or embed their graphs and dials into a webpage. The graphics are a bit meh though. Source: over 1 year ago

• i have an idea for a database+arduino+matlab, i need some help plz

  ThingSpeak for IoT Projects Data collection in the cloud with advanced data analysis using MATLAB Https://thingspeak.com/. Source: over 1 year ago

PyTorch mentions (109)

• Understanding GPT: How To Implement a Simple GPT Model with PyTorch

  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 / 3 days ago

• Building a Simple Chatbot using GPT model - part 2

  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 / 11 days ago

• Clusters Are Cattle Until You Deploy Ingress

  Oddly enough, sometimes, the best way to learn is by putting forth incorrect opinions or questions. Recently, while wrestling with AI project complexities, I pondered aloud whether all Docker images with AI models would inevitably be bulky due to PyTorch dependencies. To my surprise, this sparked many helpful responses, offering insights into optimizing image sizes. Being willing to be wrong opens up avenues for... - Source: dev.to / 4 days ago

• My Favorite DevTools to Build AI/ML Applications!

  TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / about 1 month ago

• Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch

  *My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago