Shriram8

playwright_github_actions

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

ETL_dataflow

biobank

BioBankBackend

Backend of Noco project integrated with strapi

Dash-by-Plotly

Interactive data analytics

Cross-validation-using-pytorch

AutoEncoder

Scaled-Conjugate-Gradient-Algorithm

MNIST-Data-classification-Using-CNN

Reinforcement-learning-TicTacToe

Classification-using-LDA-and-QDA

Multilayer-Nueral-Networks

Linear-Dimensionality-reduction

Reinforcement-Learning

CalculusInvolvedinGradient-Descent--Neural-Networks

DoppelGANger

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions, IMC 2020 (Best Paper Finalist)

GradCam

A technique for making Convolution Neural Network (CNN)-based models more transparent by visualizing the regions of input that are "important" for predictions from these models - or visual explanations and the approach called Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolution layer of a CNN to produce a coarse localization map of the important regions in the image

multi-docker

docker-react

mod4project_drug_consumption

Using Random Forest, KNN, Logistic Regression and XGBoost to predict hard drug use.