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Improving the Enterprise AI Lifecycle with Open Source
Use an open source age estimation deep learning model to detect faces and estimate their age in a web application.
Create your own music based on your arm movements in front of a webcam.
Explore a visual tracking-based annotation method for video streaming.
Artificial intelligenceDeep learning+
Create bar charts, line charts, scatter plots, pie charts, histograms, and maps without any coding.
Run through various machine learning classifiers and compare the outputs with evaluating measures.
Use Jupyter Notebooks with IBM Watson Studio to build an interactive recommendation engine PixieApp.
Apache SparkArtificial intelligence+
This developer pattern demonstrates the key elements of creating a recommender system by using Apache Spark and Elasticsearch.
Use an open source image caption generator deep learning model to filter images based on their content in a web…
Use an open source object detector deep learning model to display and filter objects recognized in an image in a…
In this pattern, we show you how to create an offline-first shopping list progressive web app using Polymer and PouchDB.…
This pattern walks you through how to educate others about food insecurity with IBM Watson Studio, pandas, PixieDust, and Watson…
This code pattern offers a solution designed to help address the employee attrition problem. It starts from framing the business…
Data scienceJupyter Notebook+
This code pattern will show you how to use Scikit Learn and Python in IBM Watson Studio. The goal is…
Deploy and consume a deep learning platform on Kubernetes, offering TensorFlow, Caffe, PyTorch etc. as a service.
Demonstrate how to detect real-time trending topics on popular websites by collecting data on user visits.
Learn how to setup and run the TPC-DS benchmark to evaluate and measure the performance of your Spark SQL system.
Apache SparkAPI Management+
Train a deep learning language model in a notebook using Keras and Tensorflow.
Use an open source image segmentation deep learning model to detect different types of objects from within submitted images, then…
Artificial intelligenceData science+
Dive into machine learning by performing an exercise on IBM Watson Studio using Apache SystemML.
Use Watson Studio and scalable machine-learning tool R4ML to load dataset and do uniform sampling for visual data exploration.
Leverage R4ML and Watson Studio to conduct preprocessing and exploratory analysis with big data.
Explore the Client Insight for Wealth Management service through a Jupyter Notebook and create a web application with the service.
Utilize the power of Node.js in Jupyter Notebooks with pixiedust_node, an open source Python library.
Artificial intelligenceJupyter Notebook+
Leverage Tensorflow and Fabric for Deep Learning to train and deploy Fashion MNIST model on Kubernetes.
Learn how to use Spark SQL and HSpark connector package to create and query data tables that reside in HBase…
Apache HadoopApache Spark+
Use a free, open-source deep learning model to detect different types of objects in an image, then interact with them…
Artificial intelligenceMAX - Model Asset eXchange
Process image, video, audio, or text data using deep learning models from the Model Asset Exchange in Node-RED flows.
Learn how to create a customized node for a RESTful deep learning microservice, providing access to that service's API in…
IoTMAX - Model Asset eXchange+
Learn about a new batch of models, encompassing audio, natural language processing, and image recognition.
The Model Asset Exchange is place for developers to find and use free and open source deep learning models. Complete…
Use computer vision, TensorFlow, and Keras for image classification and processing.
Improve your neural network model by using some well-known machine learning techniques.
Learn how MAX is a place for developers to find and use free, open source, state-of-the-art deep learning models for…
Deploy deep learning models as a microservice and consume them in your applications or services.
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across an Apache Spark cluster.
An open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of…
Stocator is a storage connector connecting Apache Spark with IBM Cloud Object Storage or any other OpenStack Swift API-based object…
The past, present, and future of open source and AI at IBM.
Learn how to install CUDA and cuDNN on Power platforms.
Learn how one team developed algorithms to automatically identify tissues from big whole-slide images.
Get highlights on the latest Apache Spark v2.4.0 release.
The platform uses a distribution and orchestration layer that facilitates learning from a large amount of data in a reasonable…
Although the broad ideas around ML are well formulated, the field continues to rapidly gain interest.
The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
The AI Fairness 360 toolkit (AIF360) is an open source software toolkit that can help detect and remove bias in…
The Portable Format for Analytics (PFA) is an emerging open standard for exporting and executing analytic applications, in particular machine…
Apache Toree (previously Spark Kernel) acts as the middleman between the application and a Spark cluster.
Gain a basic understanding of graph-based meta data management in enterprise data governance with Apache Atlas as a prime example.
Announcing the third batch of model assets along with code patterns with handy examples.
Learn how a team added support for informational primary key and foreign key (referential integrity) constraints in Spark to achieve…
Currently, Filters are pushed down to data source layer for better performance. However, Aggregate is still done at Spark layer.…
Speed up the development process by using open source project and test utilities.
Learn several approaches to tracking your machine learning models and runs with MLflow.
R-Ladies participated in the Linux Foundation Open Source Summit as a community partner, building bridges between researchers and software developers,…
Learn how Fabric for Deep Learning now supports both PyTorch 1.0 and the ONNX model format.
AnalyticsFfDL - Fabric for Deep Learning+
Learn some best practices in using Apache Spark Structured Streaming.
Learn how the AI Fairness 360 toolkit can help you identify and quantify bias in machine learning model training.
AI Fairness 360Artificial intelligence+
Dig deeper and learn some internals of the MLflow based on a developer's first-hand experience and the study of the…
AI is experiencing a renaissance and it’s vital that we build AI right. The values adopted to build today's AI…
AI Fairness 360Artificial intelligence
Train a deep learning model to classify audio embeddings on Watson Machine Learning and perform inference/evaluation with Watson Studio.
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