Pinned Repositories
ads-test
Git repo for Automation Decision Services Lab
answer-retrieval
Sample application that shows you how to create your own answer retrieval application for StackExchange, using custom features from the Retrieve and Rank service.
app-insights-discovery
Sample app demonstrating how to take advantage of the Watson Discovery Service
app-modernization-helm-lab
Helm Lab for IBM Client Developer Advocacy Team's App Modernization Dojo
conversation-simple-ui-python
Basic python app with UI that integrates Watson conversations and Watson Retrieve and Rank
Misc-Python-Scripts
qa-discovery-think2019
Think-NLC-101-Lab
watson-assistant-healthcare-lab
watson-assistant-workshop
Create a Watson Assistant chatbot from scratch
jrtorres's Repositories
jrtorres/watson-assistant-workshop
Create a Watson Assistant chatbot from scratch
jrtorres/ads-test
Git repo for Automation Decision Services Lab
jrtorres/cloudpakforapplications-appmod-workshop
https://ibm-developer.gitbook.io/cloudpakforapplications-appmod/
jrtorres/cp4mcm-policies
jrtorres/Data-Science--Cheat-Sheet
Cheat Sheets
jrtorres/DataTest
jrtorres/DO180-apps
DO180 Repository for Sample Applications
jrtorres/dsai-workshop-aiops
jrtorres/dsai-workshop-dataprocessing
Workshop content to take user through data understanding using python and IBM Watson
jrtorres/dsai-workshop-deeplearning
Workshop content to take user through building deep learning models in Watson Studio and deploying models to Watson Machine Learning
jrtorres/dsai-workshop-machinelearning
Workshop content to take user through various approaches used in building machine learning models in Watson Studio and deploying models to Watson Machine Learning
jrtorres/forecast-demand-for-vending-machines
jrtorres/geopandas-workshop
jrtorres/german-credit
Notebooks and synthetic data for AI OpenScale demo with German Credit data
jrtorres/guestbook
jrtorres/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
jrtorres/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jrtorres/handtracking
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
jrtorres/iks-cloudnativeworkshop
jrtorres/JupyterNotebooks
Misc jupyter notebooks
jrtorres/models
Models and examples built with TensorFlow
jrtorres/mortgage-default
jrtorres/openscale-lab
jrtorres/pandas-workshop
jrtorres/pytorch-cifar10-in-ibm-cloud
Train CIFAR10 with PyTorch using IBM Watson Studio -- The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifar) and adapted for submitting the model to IBM Watson Machine Learning on Watson Studio for training. It is meant to get you quick-started. We hope you have some fun running your first models in IBM Cloud
jrtorres/Think2020
Labs for Session #1221
jrtorres/timeseries-rnn-lab-part1
This Watson Studio lab demonstrates the use of an RNN to forecast time series data
jrtorres/timeseries-rnn-lab-part2
Use Watson Studio to optimize hyperparameters for an RNN and then deploy the best model as a service
jrtorres/TR_POT_09-23-2021
jrtorres/watson-studio-ml