Shreyas Dixit's Projects
A repository of aerial image semantic segmentation contains annotated images that have been labeled with object categories, enabling machine learning models to identify and classify objects in aerial images.
Repository created to teach Git & GitHub at Symbiosis Institute of Technology !
The Project allows you to visualize Algorithms on your command Line.
AutoSprout is an Automatic Irrigation System which enables users to login to an web or app and monitor their plants as well as agricultural lands.
Calculator app using pycharm
First Java Program
Online Chatting application . This application allows you to chat with a group of people in a certain range area.
Case Study of Detection of Credit card fraud using Machine learning algorithms such as Logistic Regression, Support Vector Machines ,etc
Binary Image Classification . This project uses basic Machine Learning Algorithms to differentiate between ๐ฑCats & ๐ถDogs
The Emotion Recognition App is a real-time application that utilizes machine learning to detect and recognize human emotions from a webcam feed. The application uses a pre-trained deep learning model to classify facial expressions into seven different emotions: Angry, Disgusted, Fearful, Happy, Neutral, Sad, and Surprised. This project demonstrates
Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. This goes beyond the use of local models that make predictions on mobile devices .
GPTLite is a PyTorch implementation of the GPT (Generative Pre-trained Transformer) language model. It is trained on the Shakespeare dataset, and is built from scratch.
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains a Translation model to translate English sentence to Hindi.
This is a Image Classification Neural Net made to study Transfer Learning. The Project consists of a case study of Classification of Food Items of 101 different types.
Welcome to the "Image Generation from Scratch" repository! This project is dedicated to building image generation models from scratch using PyTorch. In this repository, you'll find both GANs (Generative Adversarial Networks) and Diffusion models implemented from the ground up.
Check your internet speed (python)
This Project aims to analyse 850 IPL matches & use them for prediction of next IPL winner ๐
Welcome to the 2023 Kaggle Playground Series! This competition, titled "Regression with a Mohs Hardness Dataset," is part of Season 3, Episode 25. We appreciate the active participation and contributions from the Kaggle community in this series.
This Library Management System is a simple CLI-based application to manage books and users in a library. The application supports adding, listing, updating, and deleting books and users, as well as checking out and checking in books.
The official Meta Llama 3 GitHub site
This is a Kaggle Competition Notebook made for the dataset of Loan Eligibility Prediction.
MaskedLMs is a repository that contains masked language models for Indian languages. These models are designed to predict missing words in a sentence. The models currently support English , Hinglish Languages
This Project is an attempt to understand and recreate Googles latest update in Color-Extraction called as Material You. It will provide you with color-palette to use on your website , brand as per the main image on the website or brand.
Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (int8) instead of the usual 32-bit floating point (float32).
This repository contains the implementation of a multi-head YOLOv9 model for clothes detection and instance segmentation. The model is trained on the DeepFashion dataset and evaluated using MSCOCO evaluation metrics. It predicts bounding boxes, instance segmentation masks, category labels, and confidence scores simultaneously.
The aim of this repository is to understand and build a neural network and to go from maths to code.