OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
NLP Cloud
spaCy
Amazon Comprehend
Polyglot NLP
Google Cloud Natural Language API
OpenNLP
TextBlob
Hugging Face
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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OpenCV might be a bit more popular than NLP Cloud. We know about 51 links to it since March 2021 and only 41 links to NLP Cloud. 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.
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 3 hours ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
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: 11 months ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: 11 months ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: 11 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Amazon Comprehend - Discover insights and relationships in text
NumPy - NumPy is the fundamental package for scientific computing with Python
Polyglot NLP - Development