|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Questionansweringsystem||1,628||19||5 years ago||2||September 26, 2015||3||apache-2.0||Java|
|Node Sdk||1,480||3,754||137||2 months ago||220||March 29, 2019||22||apache-2.0||TypeScript|
|:comet: Node.js library to access IBM Watson services.|
|Python Sdk||1,432||48||16||3 months ago||36||March 21, 2022||7||apache-2.0||Python|
|:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud|
|Susi_linux||1,418||2 years ago||45||apache-2.0||Python|
|Hardware for SUSI AI https://susi.ai|
|:microphone: Sample Node.js Application for the IBM Watson Speech to Text Service|
|Ffdl||678||2 months ago||1||April 27, 2019||43||apache-2.0||Go|
|Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes|
|Java Sdk||582||22||3 months ago||48||April 04, 2019||7||apache-2.0||Java|
|:1st_place_medal: Java SDK to use the IBM Watson services.|
|Unity Sdk||567||a year ago||1||apache-2.0||C#|
|:video_game: Unity SDK to use the IBM Watson services.|
|:bar_chart: Sample Nodejs Application for the IBM Watson Personality Insights Service|
A question answering system that extracts answers from Wikipedia to questions posed in natural language. Inspired by IBM Watson and START. We are currently focused on improving the accuracy of the extracted answers. Follow the creator's blog at shirishkadam.com for updates on progress.
Elasticsearch is being used to store and index the scrapped and parsed texts from Wikipedia.
Elasticsearch 7.X installation guide can be found at Elasticsearch Documentation.
You might have to start the elasticsearch search service.
$ git clone https://github.com/5hirish/adam_qas.git $ cd adam_qas $ pip install -r requirements.txt $ python -m qas.adam -vv "When was linux kernel version 4.0 released ?"
Note: The above installation downloads the best-matching default english language model for spaCy. But to improve the model's accuracy you can install other models too. Read more at spaCy docs.
$ python -m spacy download en_core_web_md
$ git clone https://github.com/5hirish/adam_qas.git $ cd adam_qas $ docker-compose up
Now both conntainers are up and running. Next step is to enter in the python container and run Adam:
$ docker exec -it $(docker ps -a -q --filter ancestor=adam_qas_adam) bash $ python -m qas.adam -vv "When was linux kernel version 4.0 released ?"
Find more in depth documentation about the system with its research paper and system architecture here
Python Package dependencies listed in requirements.txt Upgrading Elasticsearch 6.X:
GitHub Issue #36: Invalid Answers
Please see our contributing documentation for some tips on getting started.