Zyte
Bright Data
Apify
Smartproxy
Oxylabs
import.io
ScrapingBee
NetNut.io
PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
OpenCV
Pandas
MLKit
We are the leader in web data extraction technology and services. We're obsessed with data. And what it can do for businesses.
We help thousands of companies and millions of developers to get their hands on clean, accurate data. Quickly, reliably & at scale. Every day, for more than a decade.
From price intelligence, news and media, job listings and entertainment trends, brand monitoring, and more, our customers rely on us to obtain dependable data from over 13 billion web pages each month.
Zyte (formerly Scrapinghub) serves over 2,000 companies and 1 million developers from across the globe who value accurate, reliable web data to help them run their business.
Zyte PyTorchBased on our record, PyTorch seems to be a lot more popular than Zyte. While we know about 133 links to PyTorch, we've tracked only 1 mention of Zyte. 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.
Scrapinghub.com — Data scraping with visual interface and plugins. Free plan includes unlimited scraping on a shared server. - Source: dev.to / almost 4 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 16 days ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / 29 days ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / about 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 3 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 3 months ago
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
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.
Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.