Suryansh Sinha's Projects
PyTorch Implementation of AlexNet architecture on the CIFAR 10 dataset.
Using DCGANs to generate anime faces.
PyTorch implementations of an Undercomplete Autoencoder and a Denoising Autoencoder that learns a lower dimensional latent space representation of images from the MNIST dataset.
A logistic regression model that can predict if a person will suffer from a brain stroke or not.
Basic Syntax and Functioning of the C language I did for college.
A simple Convolutional Neural Network trained on the famous CIFAR-10 dataset. Implemented in PyTorch.
A Conditional Deep Convolutional Generative Adversarial Network implemented in PyTorch, trained on the Fashion MNIST dataset.
ANN that predicts if a customer will continue with their bank account or close it.
This repo contains information about optimizers, activation and loss functions used in Deep Learning Models. This is collected from various resources such as Krish Naik, Codebasics and Statquest.
DSA in C++. Learning from Love Babbar's Supreme 2.0 Course.
A simple flutter app that displays data from a REST API.
This is a repository containing implementations of various Generative Adversarial Network research papers.
Implemented an Artificial Neural Network that works with the MNIST dataset to recognize handwritten digits.
A hotel management system implemented in C.
Learning how the PyTorch framework functions. Code with notes.
Implementation of LeNet-5 on MNIST Dataset in PyTorch
Created an API using Django Rest Framework which performs CRUD operations for a pet shop.
My portfolio
Simple implementations of Linear Regression and Multinomial Logistic Regression on the Wine Dataset using PyTorch.
Revising Python concepts from TechWithTim. Code with Notes.
An autoencoder that can colorize black and white images.
Variational Autoencoder implemented in PyTorch