Abhinav Sharma's repositories
AbhinavS99-Realtime-Face-Recognition-with-TfLite
A minimalistic Face Recognition module which can be easily incorporated in any Android project.
Predicting-Employee-Attrition-for-Augmenting-Institutional-Yield
In this project, the team strives to use machine learning principles to predict employee attrition, provide managerial insights to prevent attrition, and finally rule out and present the factors that lead to attrition.
Image-Compression-with-ML-Techniques
The project explores the use of Unsupervised Learning Techniques like Principal Component Analysis and KMeans Clustering for the purpose Image Compression.
Reconstructing-Posture-with-ML-and-DL
Posture reconstruction by application of machine learning
Flappy-Bird-With-DL-and-Genetic-Algorithm
The project aims to teach a neural net how to play the famous game 'Flappy Bird'. To play the game deep learning and genetic algorithms are applied.
Generative-Adversarial-Networks-Based-Text-to-Image-Generation
Generating real life images from textual description using DCGANs
Image-Caption-Generation-using-Attention-Networks
Neural Image Caption Generation Using Bahadanu Attention
Ladder-Networks-for-Sign-Languages
The project aims to demonstrate the ability of ladder networks to translate sign languages into text while using lesser data than the traditional models.
OnlineShop
Online Shop which can be used by Customer, Supplier, Manager, Employee and Owner of the Shop. It is a CLI based project with many features.
Spam-Detection-Using-Neural-Networks
Spam Detection using LSTMs
Artistic-Style-Transfer
Artistic style transfer with the help pretrained CNNs
DPS-AI-Task-Abhinav-Sharma
DPS Task for the Application of AI Engineer - Abhinav Sharma(abhiji99@gmail.com)
Reddit-Flair-Detection-ML
Machine Learning project to predict the flair in reddit
Sentiment-Analysis-Using-Interactive-Attention-Networks
Interactive Attention based model is prepared to analyze the sentiments of a sentence. The dataset used is the ABSA dataset
Standard-NN-for-Digits-Classification
Code for neural networks from scratch