Sudhanshu1304

Cityscape-Semantic-Segmentation

Semantic-Segmentation || UNet || PyTorch || Self Driving Cars

GMAIL_BOT

This Program Automates GMAIL

Machine-Learns

An Interactive Website to do hands-on Machine learning. An online platform for learning and visualizing machine learning and deep learning concepts. Here you can see algorithm in action. Examples: Read about Autoencoder and see how they work.

ModelAuto

Pip install ModelAuto ( ML Automation Library ) .A PyPI library used for automating model building task. It provides us helpfull tools to perform tasks like Data preprocessing, Feature selection and Model Selection with few lines of code.

Music-Genra-Recognition

This is a simple speech recognition algorithm. This was a Learning Project, in which I learned how to apply machine learning to sounds, using concepts like Mfcc and the role of Fourier transform.

Pix2Pix-In-PyTorch

Create Pix2Pix quick!, The Pix2Pix GAN is a general approach for image-to-image translation. It is based on the conditional generative adversarial network, where a target image is generated, conditional on a given input image. In this case, the Pix2Pix...

Brain-Tumor-Segmentation

Created a semantic segmentation model using PyTorch framework called MONAI. In this project I have applied various data augmentation technique and have build a UNet deep learning model.

Customer_Segmentation

In large business firms, the major aspect to deal with is a large amount of data. One such aspect is "feedback from the customer". It uses Unsupervised Learning for Customer Segmentation and also performs Topic Modeling.

DeskApp

Desktop 🖥 Application based on AI .A Productivity Tool, which uses AI to analyze User Activity. Users can learn where are they spending there time most and also compare amount of work done per day for months. It has different graphs to show our performance.

Dockerizing-Django-Application

Learn how to containerize your Django project using Docker, including two different methods: using only a Docker file or using Docker Compose. Explore the syntax of both approaches and discover how to make real-time changes to your dockerized application as you develop it locally.

Autoencoders

Autoencoder is an unsupervised Learning approach. It is an Artificial Neural Network(ANN) that learns to capture important piece of information (features) from a given data. An Autoencoder forms a representation of the actual data into a small matrix also known as latent space.

Brain-MRI-Synthesis

A Research Project Using Generative models like Variational Autoencoder (VAE), T2-Weighted Images are being generated from T1-Weighted Images. Have achieved a maximum of 0.15 RMSE on validation dataset.

bxcodec

Fall-Back-To-Safe-Zone

This is a concept that considers factors such as injured individuals, rescue teams, and people who are unaware of the threat and locates the safest safe zones, such as hospitals, and distributes injured into them.

Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

Life-Expectancy-Prediction

Music-Recomendation-System

Numpy

pahlevikun

Pandas-Library

PyTorch

PyTorch, the language of Researchers.

REAL-TIME-DIGIT-RECOGNITION-

Using TKINTER GUI and CONVENTIONAL NEURAL NETWORK (CNN)

Sentimental-Analysis

USING TensorFlow ,Recurrent Neural Network (RNN) and Word Embedding Model

Sorting-Algorithm-Visualizer

To Show the Algorithm in action

SSudhashu

Stack-Application

Shows us the steps involved.

Sudhanshu1304

Text-Generator

Create a title using this text generator. We can input some words, It will generate relevant titles. Could be used for generating Titles for your next video on YouTube or for your next post on Medium.📝

To-Do-List

Using Tkinter and maintains a database to store all the items

Unet-In-PyTorch

Different ways to create the Unet Architecture in PyTorch. A U-shaped architecture consists of a specific encoder-decoder scheme: The encoder reduces the spatial dimensions in every layer and increases the channels....