MAX-Question-Answering
Question Answering System
An open source question answering system built on top of the BERT model and deployed as a web service in a Docker container.
Answer questions on a given corpus of text.
33 stars
16 watching
21 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
docker-imagemachine-learningmachine-learning-modelsnatural-language-processingtensorflow
victorshinya/awesome-ibmcloudRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ibm/max-text-summarizer | Provides a pre-trained text summarization model that can be deployed as a web service in a Docker container | 27 |
| ibm/max-base | Provides a common base layer for building Docker images used in the IBM Model Asset Exchange | 12 |
| ibm/max-speech-to-text-converter | Converts spoken words into text form using speech recognition technology | 76 |
| ibm/max-ocr | An optical character recognition system deployed as a web service using a trained Tesseract OCR model | 47 |
| ibm/max-text-sentiment-classifier | Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
 huggingface/node-question-answering | Provides a simple way to perform question answering using a pre-trained model in Node.js | 466 |
| ibm/max-review-text-generator | Generates English-language text similar to Yelp reviews using a Char-RNN model | 16 |
| ibm/max-news-text-generator | Generates English-language text similar to news articles using machine learning and natural language processing techniques. | 26 |
| ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
| ibm/max-sports-video-classifier | This project provides a pre-trained video classification model that categorizes sports videos into their respective sports. | 23 |
| ibm/max-audio-classifier | Identifies sounds in short audio clips using machine learning and PCA transformation | 153 |
| ibm/max-audio-embedding-generator | An audio embedding model generator | 56 |
 deepaknverma/ama | A platform where developers can ask and answer questions on any topic, with guidelines to ensure helpful and informative responses. | 1 |
 lupantech/scienceqa | Develops a framework for multimodal reasoning and question answering in science and other domains using natural language processing and machine learning techniques. | 606 |
 darcyclarke/ama | A platform where users can ask questions and receive answers from the creator of DSS, Front-end Developer Interview Questions, and other notable projects. | 2 |