Pinned Repositories
Automated-Detction-of-Liver-cancer-in-WSI
This project focuses on detection and segmentation of liver cancer in WSI using parallel processing on GPU and used techniques of pruning to improve and optimize my model. The baseline of the model is Unet and Vnet. Further the model has been upgraded with a ResNet backbone and model pruning technique were also applied.
Image-Compression-and-Generation-using-Variational-Autoencoders-in-Python
This project will introduce the Variational Autoencoder. I will discuss some basic theory behind this model, and move on to creating a machine learning project based on this architecture. Our data comprises 60.000 characters from a dataset of fonts. We will train a variational autoencoder that will be capable of compressing this character font data from 2500 dimensions down to 32 dimensions. This same model will be able to then reconstruct its original input with high fidelity. The true advantage of the variational autoencoder is its ability to create new outputs that come from distributions that closely follow its training data: we can output characters in brand new fonts.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Supermarket-Sales-Data-Analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this datasets.
sushantag9's Repositories
sushantag9/Supermarket-Sales-Data-Analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this datasets.
sushantag9/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
sushantag9/Image-Compression-and-Generation-using-Variational-Autoencoders-in-Python
This project will introduce the Variational Autoencoder. I will discuss some basic theory behind this model, and move on to creating a machine learning project based on this architecture. Our data comprises 60.000 characters from a dataset of fonts. We will train a variational autoencoder that will be capable of compressing this character font data from 2500 dimensions down to 32 dimensions. This same model will be able to then reconstruct its original input with high fidelity. The true advantage of the variational autoencoder is its ability to create new outputs that come from distributions that closely follow its training data: we can output characters in brand new fonts.
sushantag9/Automated-Detction-of-Liver-cancer-in-WSI
This project focuses on detection and segmentation of liver cancer in WSI using parallel processing on GPU and used techniques of pruning to improve and optimize my model. The baseline of the model is Unet and Vnet. Further the model has been upgraded with a ResNet backbone and model pruning technique were also applied.
sushantag9/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
sushantag9/awesome-mlss
List of summer schools in machine learning + related fields across the globe
sushantag9/chat-bot
chatbot created by CodesBot PSIT
sushantag9/Datasets
Link to some Awesome Datasets
sushantag9/Deep-Learming-Models
Scripts for Deep Learining models
sushantag9/Disaster-Response-Pipeline
In this project, you'll apply these skills to analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages.
sushantag9/Dog-Breed-Classifier
Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed
sushantag9/example-scripts
Example Machine Learning Scripts for Numerai's Tournament
sushantag9/Face-Generation
In this project, you'll use generative adversarial networks to generate new images of faces.
sushantag9/GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
sushantag9/machine-learning
Content for Udacity's Machine Learning curriculum
sushantag9/minimal
Minimal is a Jekyll theme for GitHub Pages
sushantag9/mlh-localhost-github
This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.
sushantag9/multi-container-nginx-react-node-mongo
Multi container application with Nginx, React, Node and Mongo DB. This repository also contains Terraform IaC (Infrastructure as Code) for a CICD pipeline to build and push images to DockerHub.
sushantag9/nnUNet
sushantag9/pico-tflmicro
Pico TensorFlow Lite Port
sushantag9/Predicting-Bike-Sharing-Patterns
sushantag9/Python-1
All Algorithms implemented in Python
sushantag9/Recommendations-with-IBM
For this project we will analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles you think they will like.
sushantag9/shap
A game theoretic approach to explain the output of any machine learning model.
sushantag9/Smoke-semantic-segmentation
Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation
sushantag9/sushantag9
sushantag9/the-gan-zoo
A list of all named GANs!
sushantag9/TV-Script-Generation
In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using a Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script.
sushantag9/ubuntu-tour
Web-Based Ubuntu
sushantag9/Udacity-Deep-Learning-Nanodegree
Learn about foundational toipcs in excieting field of deep learning, the tech behind state-of-the-art Artificial Intelligence