# zrl-deepsearch-ai-playground

**Repository Path**: mirrors_ibm/zrl-deepsearch-ai-playground

## Basic Information

- **Project Name**: zrl-deepsearch-ai-playground
- **Description**: Meet ML/NLP for the first time via a collection of plug and play notebooks. Workshop material for school students
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-06-24
- **Last Updated**: 2025-08-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ML to NLP Workshop

This repository consists of plug and play notebooks -- allowing first exposure to some tasks in machine learning, natural language processing. 

We use pre-trained off-the-shelf models to allow people to interact, enjoy, and play with machine learning. Meanwhile, the tasks expose some well known ML capabilities.

The end goal is to assemble the necessary pieces for explaining the [IBM Deep Search](https://ds4sd.github.io/).

# Tasks

The jupyter notebooks for each tasks is in the `notebooks` directory. 

- [Task 1: Object Detection](https://github.com/IBM/zrl-deepsearch-ai-playground/blob/master/notebooks/task1_object_detection.ipynb)

- [Task 2: Word Embeddings](https://github.com/IBM/zrl-deepsearch-ai-playground/blob/master/notebooks/task2_wordembeddings.ipynb)

- [Task 3: Named Entity Recognition](https://github.com/IBM/zrl-deepsearch-ai-playground/blob/master/notebooks/task3_named_entity_recognition.ipynb)



# Requirements
```
python
jupyter-notebook
tensorflow
tensorflow-hub
numpy
pandas
gensim
spacy
matplotlib
PIL
```
Worry not! Everything is prepared via a docker container that contains all the libraries and packages we need. 

# Contribution

This repository is developed and maintained by [Scalable Knowledge Ingestion](https://ds4sd.github.io/people) research group at [IBM Research, Zurich](https://www.zurich.ibm.com/). 

To contribute code or documentation, please submit a pull request.