amitav710 Goto Github PK

amitav710

amitav710.github.io

Repository hosting my Personal Website.

anirudhm1

ashmitkx.github.io

Repo hosting my personal website

calorie-estimation-yolov5

Food Calorie Estimation using YOLOv5

coursera-dl-specialization

Repository for Programming Assignments of Coursera's DL Specialization

cs-f213-chess

cs231n

My attempt at the assignments of cs231n

customer-segmentation-using-k-means-clustering

Clustering helps marketers improve their customer base, work on target areas, and segment customers based on purchase history, interests, or activity monitoring. Here the K-Means Clustering Algorithm has been used to group customers with the help of their Annual Incomes and their spending scores as metrics.

everything-gans

Reviewing Existing Literature on GANs and their implementations

football-touch-detection-using-object-detection-and-human-pose-estimation

goadest-frontend

ml4sci-higgsclassification

object-detection-and-yolo-implementations

My implementation of some YOLO versions

rtchatapp

Real Time Chat Application built using React, NodeJS and socket.io

saidl-spring-assignment-2022

My Implementations of Bayesian Neural Network to solve Noisy XORs and Image Super-resolution using SRCNNs and SRResNet

soundemic

stl-10-supervised

This model/project aims to achieve improved test set accuracy by implementation of Residual Networks (ResNets) on datasets where training data is limited. An accuracy of 74% was achieved when Residual Layers were introduced to the model as compared to 68% when the same model was used on the training data without any Residual Layers. Training was done on a total of 5000 examples and 8000 examples were tested. All the training and testing examples were a part of the stl-10 dataset, which comntains 10 different classes.

vit-implementation

An Implementation of Visual Transformers in PyTorch for the CIFAR10 dataset