modelriskanalytics

Pinned Repositories

2020-ComputeFest
Language:HTML0 0 00
algorithmic-marketing-examples
Optimization models for enterprise operations use cases.
Language:Jupyter Notebook00
cleargrasp
Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"
Language:C00
DataScienceForFinanceSmall
Language:Jupyter Notebook11
DataScienceInFinanceV2
Language:Jupyter Notebook1 2 01
faker
Language:Jupyter Notebook00
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Language:Jupyter Notebook00
IoT_Predictive_Maintenance_Demo
Language:Python00
machine_challenge
Data and R code used to produce the paper "A performance comparison of eight commercially available automatic classifiers for facial affect recognition"
Language:TeX00
Mitigating-Overfitting-Experiment
Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
Language:Python00

modelriskanalytics's Repositories

modelriskanalytics/DataScienceForFinanceSmall
Language:Jupyter Notebook11
modelriskanalytics/DataScienceInFinanceV2
Language:Jupyter Notebook1 2 01
modelriskanalytics/2020-ComputeFest
Language:HTML0 0 00
modelriskanalytics/algorithmic-marketing-examples
Optimization models for enterprise operations use cases.
Language:Jupyter Notebook00
modelriskanalytics/cleargrasp
Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"
Language:C00
modelriskanalytics/faker
Language:Jupyter Notebook00
modelriskanalytics/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Language:Jupyter Notebook00
modelriskanalytics/IoT_Predictive_Maintenance_Demo
Language:Python00
modelriskanalytics/machine_challenge
Data and R code used to produce the paper "A performance comparison of eight commercially available automatic classifiers for facial affect recognition"
Language:TeX00
modelriskanalytics/Mitigating-Overfitting-Experiment
Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
Language:Python00
modelriskanalytics/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and validation.
modelriskanalytics/python-sample-vscode-fastapi-tutorial
Sample code for the FastAPI tutorial in the VS Code documentation
modelriskanalytics/QuSandboxPublicAssets
Public repo of assets
modelriskanalytics/QuWorker
modelriskanalytics/RGAN
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
modelriskanalytics/SDV
Synthetic data modeling and sampling of relational databases.
Language:Python0 0
modelriskanalytics/subt
This repostory contains software for the virtual track of the DARPA SubT Challenge. Within this repository you will find Gazebo simulation assets, ROS interfaces, support scripts and plugins, and documentation needed to compete in the SubT Virtual Challenge.