ManojAkondi's Projects
Submission system for AI Club inductions'21
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
The aim is not only to make a model which can classify the chest x-ray data but also to extract the heat maps of the x-ray for faster diagnosis and making it more reliable to use in real time.
JAX is a Python library designed for high-performance numerical computing, especially machine learning research. Its API for numerical functions is based on NumPy, a collection of functions used in scientific computing. Both Python and NumPy are widely used and familiar, making JAX simple, flexible, and easy to adopt.
Deep Reinforcement Learning algorithms in pytorch!!
msnoj
Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As Artificial intelligent algorithms are at its peakdevelopment, Our method uses deep learning and object detection techniques for processing and classifying the cervigram types.
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
This is the solution for stock-market prediction problem given in flipr 5.0.
This repo contains Gans implemented from scratch
Classifying human activities from pose by posenet model
Personal website
A beautiful portfolio Jekyll theme that works with GitHub Pages.
Unsupervised Segmentation of Printed Circuit Boards with PCA algorithm
The aim is to train a model on movie reviews to predict the rating of a given review.
The main goal of this repository is to obtain the phrases or words from a given sentence which strongly agree to the corresponding sentiment
This repository contains implementations of various algorithms in pure numpy(no tensorflow/pytorch)
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
My Website!