PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
MLKit
Flutter.dev
React Native
import.io
Content Grabber
Apify
Ionic Framework
Data Miner
Electron
PyTorch Flutter.devBased on our record, Flutter.dev should be more popular than PyTorch. It has been mentiond 340 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.
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 / 10 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 1 month ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 2 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months ago
If you are considering Electron/React then I would suggest adding Flutter to your list of technologies to consider. It uses Dart (a language similar to C#) and has a lot going for it… relatively quick to get up to speed with, fantastic developer experience (e.g., hot reload, great IDE support, good development tools) and very strong cross-platform support: it generates native iOS, Android, MacOS, Windows and Linux... - Source: Hacker News / about 1 month ago
You can find the React Native documentation here and Flutter Documentation here. - Source: dev.to / about 2 months ago
Download the Flutter SDK: Visit the Flutter official website (https://flutter.dev/), click "Get Started", select the download link suitable for your operating system, and download the Flutter SDK zip file. - Source: dev.to / 3 months ago
Flutter: Google's UI toolkit that can compile to iOS and Android platforms from a single codebase. - Source: dev.to / 4 months ago
I see you have mobile dev experience so my advice would be: Step 1: learn Flutter/Dart https://flutter.dev/ Step 2: learn some decent architecture such as https://resocoder.com/2020/03/09/flutter-firebase-ddd-course-1-domain-driven-design-principles/ Step 3: Make an app using that architecture and put it on Github to demonstrate your understanding of the architecture and the flutter ecosystem. Something with a... Source: 5 months 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.
React Native - A framework for building native apps with React
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Content Grabber - Content Grabber is an automated web scraping tool.