Suyog Jadhav's Projects
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Solved programming exercises from the Advanced Machine Learning specialization by National Research University on Coursera.
Pixel-perfect Anime Matrix GIFs created using Inkscape. These animations have been tested with both Windows and Linux (specifically, Kubuntu 20.04) on ROG Zephyrus G14 (2021).
Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
Segmentation Guided Thoracic Classification
COCO API - Dataset @ http://cocodataset.org/
A high-level toolbox for using complex valued neural networks in PyTorch
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
A collection of designs I made in my spare time.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Recognizes devanagari digits in an image. (In progress)
A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass
Recognizes emotion using webcam (live). (In Progress)
:fire: 2D and 3D Face alignment library build using pytorch
FaceSearch: Searches for faces in a given image using the Google Reverse Image Search engine.
A faster version of the usual drowsiness detectors built using OpenCV.
My scribbles from the fast.ai course (http://course.fast.ai)
A working fork of the original repo with many issues fixed. Code for FCHD - A fast and accurate head detector
Learning Flutter!
A simple drawing app made with Flutter
Some codes i wrote to help me with me with my daily errands ;)
Tensors and neural networks in Haskell
My first repository on github...