NLP Cloud
Hugging Face
spaCy
Amazon Comprehend
Google Cloud Natural Language API
Medallia
Polyglot NLP
Lettria
DevDock
Docker Desktop
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.
DevDock keeps local projects in one sidebar and gives each project a focused workspace for its overview, commands, run history, databases, security checks, settings, and tools. The Today view surfaces recent projects and saved daily workflows. Inside a project, DevDock connects registered folders, detected technologies, Docker and Git state, database operations, local security findings, and the actions used to get back to work.
NLP Cloud DevDockNo features have been listed yet.
DevDock's answer:
DevDock brings local software projects, saved commands, Docker environments, database operations, project health, and security checks into one Windows desktop workspace. Each project has a focused view for its overview, commands, run history, databases, security checks, settings, and tools, while the Today view surfaces recent projects and saved daily workflows.
DevDock's answer:
DevDock is a fit for developers who switch between local codebases and want repeatable project context in one place. It connects registered folders, detected technologies, saved commands, Git and Docker state, database operations, local security findings, and project health checks without requiring repositories to be moved into one folder or uploaded to a service.
DevDock's answer:
DevDock is primarily for Windows developers who switch between local codebases, work across frontend, backend, mobile, and infrastructure repositories, or want repeatable local setup and project workflows without uploading source code.
Based on our record, NLP Cloud seems to be more popular. It has been mentiond 41 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: about 3 years ago
I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: about 3 years ago
You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: about 3 years ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: about 3 years ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: about 3 years ago
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Docker Desktop - Docker Desktop is a one-click-install application that lets you to build, share, and run containerized applications and microservices.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Amazon Comprehend - Discover insights and relationships in text
Google Cloud Natural Language API - Natural language API using Google machine learning
Medallia - Medallia enables companies to capture customer feedback, understand it in real-time, and take action to improve the customer experience (CX).