Pinned Repositories
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
av-2022
Workshop for Analytics Vidhya July 2022
ddd-estimator-opencv
Driver Alertness Detection using Ensemble of Regression Trees and Implemented in OpenCV
dsdojo-2022
Workshop for Data Science Dojo September 2022
Facial-Recognition-App
Facial Recognition App with Python Backend and JS Frontend
Machine-Learning-Datasets
A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book "Interpretable Machine Learning with Python".
ml-prague-2021
Presentation for Machine Learning Prague 2021
Music-GenAI-App
Music Generation with AI App
odsc-west-2022
Workshop for Open Data Science Conference East 2022
pydata-2020
Workshop for PyData 2020
smasis001's Repositories
smasis001/ddd-estimator-opencv
Driver Alertness Detection using Ensemble of Regression Trees and Implemented in OpenCV
smasis001/dsdojo-2022
Workshop for Data Science Dojo September 2022
smasis001/odsc-west-2022
Workshop for Open Data Science Conference East 2022
smasis001/av-2022
Workshop for Analytics Vidhya July 2022
smasis001/ml-prague-2021
Presentation for Machine Learning Prague 2021
smasis001/pydata-2020
Workshop for PyData 2020
smasis001/datacamp2022
Workshop for DataCamp July 2022
smasis001/odsc-west-2020
Workshop for Open Data Science Conference West 2020
smasis001/dsgo-virtual-2021
DataScienceGo Virtual April 2021 Workshop
smasis001/Facial-Recognition-App
Facial Recognition App with Python Backend and JS Frontend
smasis001/odsc-east-2022
Workshop for Open Data Science Conference East 2022
smasis001/dphi-2021
smasis001/smart-grid-peak-tariff-optimization
Smart Grid Peak Tariff Optimization with Reinforcement Learning
smasis001/aisc-2021
Presentation for Aggregate Intellect, March 2021
smasis001/datatalks-2022
smasis001/Machine-Learning-Datasets
A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book "Interpretable Machine Learning with Python".
smasis001/ml-summit-2021
Workshop for ML Summit April 2021
smasis001/mlconf-2023
Workshop for ML Conference Berlin 2022
smasis001/Music-GenAI-App
Music Generation with AI App
smasis001/smoothing
Provable adversarial robustness at ImageNet scale
smasis001/autofocus
smasis001/cause2e
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
smasis001/cran-server
Self-hosted R package repository
smasis001/diy-ai-book
smasis001/mlconf-2022
Workshop for ML Conference Berlin 2022
smasis001/numpynet
Approachable neural net implementation in pure numpy
smasis001/pkgnet
R package for analyzing other R packages via graph representations of their dependencies
smasis001/sta101-s16
Course materials for Sta 101 - Spring 2016 semester at Duke University
smasis001/strangeloop-2021
Workshop for Strangeloop Conference September 2021
smasis001/updraft
R package for building flexible workflows