shreeja7sheth Goto Github PK

-web-based-resume-reader-application-program

The program will take Word or PDF document as an input, read it into a local database

1d-gan-

Develop a 1D Generative Adversarial Network From Scratch in Keras

app

Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.

assets-for-wily

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bert-model

blog

Files for my blog

book-santa-stage-5

Stage - 5

budget-and-sales-data-analysis-in-powerbi

Dashboards on Tableau

c21-bullets-and-walls

Finding damage

car-data-analytics

Generating Revenue Insights using Tableau, finding forecasting and ICP using RandomForestRegressor and Clustering

car-racing-multiplayer-game-using-firebase

carracingstage0.5

Multiplayer Car Racing Game Stage 0.5

causal-tgan

class_c68_-book-management-system

cyclegan-for-image-to-image-translation-with-keras

The Cycle Generative Adversarial Network, or CycleGAN, is an approach to training a deep convolutional neural network for image-to-image translation tasks. Unlike other GAN models for image translation, the CycleGAN does not require a dataset of paired images. For example, if we are interested in translating photographs of oranges to apples, we do not require a training dataset of oranges that have been manually converted to apples. This allows the development of a translation model on problems where training datasets may not exist, such as translating paintings to photographs.

data-preprocessing-for-medical-

Processing of Dynamic data by applying various normalization techniques like Box Cox transformations, KDE, Gaussian Process

dataanalysisprojects

This contains data analysis projects

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

esrnn-

federated-learning-using-tensorflow

Implemented Credit card Fraud Detection from the kaggle dataset of credit cards using TensorFlow Federated Learning.

forecasting-in-databricks

Applying Linear Regression Forecasting for a Time Series Dataset using Tableau and Databricks

fruit-basket-game

gameshooter

ganite

Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

ganite-toymodel-data

generative-models

A library for easy creation, training and conditional resampling using Generative Models in Artificial Intelligence.

how-to-upload-on-google-playstore

implementing-recurrent-neural-networks-and-gated-neural-networks-for-gold-price-prediction

Understanding Time Series Analysis by Implementing Recurrent Neural Networks and Gated Neural Networks for Gold Price Prediction using Multivariate and Univariate Forecasting techniques