Apify
import.io
Octoparse
Bright Data
ParseHub
Zyte
ScrapingBee
Scrapy
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.
Apify TensorFlowBased on our record, Apify should be more popular than TensorFlow. It has been mentiond 47 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.
Native @apify scheduling, dataset exports (CSV/JSON), webhooks, and it's callable by AI agents via Apify MCP. - Source: dev.to / 12 days ago
That runs News Scraper on Apify, which is the same forty lines plus the parts that are Tedious rather than hard: both feeds, the nested publisher element, the date Normalisation, and deduplication. - Source: dev.to / about 1 month ago
That runs an Apify Actor I maintain, Domain Scraper, because the Tedious parts are the RDAP bootstrap, the vcard unpacking and the provider Fingerprinting rather than the HTTP call. If you would rather do it yourself, Https://rdap.org/domain/ is the whole API and it needs no key. - Source: dev.to / about 1 month ago
Data collection: Apify actors, one per source, that scrape the open-data endpoints and normalize them. Quebec RBQ ships a daily bulk CSV (inside a 10.8 MB zip, ~924k rows that dedupe to ~54k active licences). Ontario HCRA has no bulk file โ it's an internal JSON API behind the public registry. - Source: dev.to / about 2 months ago
Create a free Apify account and grab your API token from Settings โ API & Integrations. - Source: dev.to / about 2 months ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 6 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: over 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years 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.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.