NLP Cloud
spaCy
Amazon Comprehend
Google Cloud Natural Language API
Polyglot NLP
TextBlob
OpenNLP
Hugging Face
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
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Based on our record, Pandas should be more popular than NLP Cloud. It has been mentiond 200 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.
NLP Cloud (their Dolphin and Fine-tuned GPT-NeoX models). Source: 11 months ago
I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: 11 months ago
You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: 12 months ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: 12 months ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: 12 months ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 5 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
NumPy - NumPy is the fundamental package for scientific computing with Python
Amazon Comprehend - Discover insights and relationships in text
OpenCV - OpenCV is the world's biggest computer vision library
Google Cloud Natural Language API - Natural language API using Google machine learning
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.