PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
CUDA
NumPy
MLKit
Google Cloud Natural Language API
spaCy
Amazon Comprehend
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
monkeylearn
OpenNLP
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Based on our record, PyTorch should be more popular than Google Cloud Natural Language API. It has been mentiond 106 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
Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 5 months ago
Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 12 months ago
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year 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.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Amazon Comprehend - Discover insights and relationships in text
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
