Gokul Adethya's Projects
Fine-tuning pre-trained ResNet50 model to classify the brain scan different types of tumor
Solving time series problem with neural network
Fine-tuning Resnet18 model to predict if the patient has Pneumonia (COVID19) with the help of x-ray
Tuning different Pytorch/Tensorflow pre-trained models like ResNet50 , Wide ResNet_50.2 , VGG16 and a custom CNN model to classify a dog image among 120 breeds
Training Siamese model to create a one-shot neural network model using Face-Net and MTCNN as the backbone. Yolov5 and OpenCV is used alongside to classify faces in the webcam feed
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Server code for keres game hosted in heroku
Solutions of L&T EduTech Hackathon by our team - Bharatfly_Coders
Classifying IMDB reviews using LSTM with pre-trained GloVe embeddings
Comparing perfomance of vgg16 against alexnet in neural style transfer
We are trying to compare train losses, training time, and model convergence for RNN , LSTM, and GRU models using sin(x) graph in CPU and GPU
š [CVPRw] SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention, Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha
Training U-Net and Mask R-CNN models for instance segmentation in a neuronal cell
offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124
Experimentic with Siamese algorthim
I-Pravesh is a Smart Attendance Android App which uses a combination of edge face detection and recognition (MobileFaceNet + TensorFlow Lite) as the authentication biometric for recording attendance
Made an app that classfies if there is a crack or not in the image and tags the place and time which will be shown in a common Dashbaord along with previously taken images
A simple TODO list C program
EmailedIn - The Ultimate LinkedIn Profile Finder
Yet Another Python Compiler