Octoparse
import.io
Apify
ParseHub
Content Grabber
Scrapy
Data Miner
Kimono
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
NumPy
CUDA Toolkit
Pandas
Octoparse PyTorchI've been playing around with different scraping tools in the past month, trying to find the best one to help with my research project, and I have to say this new feature of auto-detection comes like a life-savor. I only need to give the software the link and it will auto-detect the content and build the crawler for me. I can even enjoy it with just a free plan!
Based on our record, PyTorch seems to be a lot more popular than Octoparse. While we know about 112 links to PyTorch, we've tracked only 3 mentions of Octoparse. 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.
Octoparse.com might work, they have a very nice interactive tool + 14 day free trail. Source: over 2 years ago
These are no-code solutions for scraping websites. You don’t need any technical knowledge to scrape Aliexpress using these tools. Using advanced AI-powered click and scrape tools, you can get started scraping within seconds either locally or in the cloud. Choosing a good scraping tool can save you lots of money and time as well. Source: almost 3 years ago
I have always been able to extract data without any problems with Octoparse. It is also a very easy to use tool. Source: about 3 years ago
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 / 19 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 / 18 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 25 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 / about 1 month 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 / about 1 month ago
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.
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.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.