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rhods-ai-demo

This page provide the practical example for development and deploying machine learning and deep learning models for various AI applications.

rhods-fraud-detection

A lab/workshop for Red Hat OpenShift Data Science using simple fraud detection as an example workload

rht-labs.github.io

sample-notebooks

Sample notebooks that are published by IBM for IBM Data Science Experience.

semantic-image-segmentation-inference

semantic-image-segmentation-workshop

This project will do Semantic Image Segmentation with efficentnetV2 model

serverless-image-processor

Use Cloud Functions to automatically analyze images in Cloud Object Storage

simple-image-classification-application

simple-keras-rest-api

A simple Keras REST API using Flask

snake

The game snake (for playing by yourself run snake_env.py). Deep Reinforcement Learning agent learns to play the game (run agent_1.py)..

snake-ai-pytorch

snapml-examples

IBM Snap ML Examples

spatio-temporal-mobile-traffic-forecasting

Mobile Traffic Prediction using Deep Learning models

speech-recognition

Tensorflow implementation for Speech Recognition using Convolutional Neural Networks. The trained model is deployable on a Raspberry Pi to classify spoken words.

sql-psql-udy

This repo contains notes on SQL and PostgreSQL

streamlit-watson-studio-blog

This repo contains code used for a blog post series covering Streamlit + Cloud Pak for Data integration.

superknowa

Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces. This repo is intended for IBM Ecosystem partners.

te2rules

Python Library to explain tree ensembles using rules

team-api-template

A template for defining a Team API - as explained in the Team Topologies book

tech-exercise

DO500 Tech Exercises - ArgoCD, Helm & other cool stuff 😎

tensorflow-advanced-segmentation-models

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

tensorflowasr

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

tensorflowtts

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

test

tf-yolo

Efficient implementation of YOLOV5 in TensorFlow2

toxic-comment-classifer

Deploying toxic comment classifier with Tensorflow Serving and Docker

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tutorials-langchain

ubiquitous-journey

🧰 Open Innovation Labs Developer Experience - all the tooling for starting a residency

vaenar-tts

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.