Gokul Adethya (FrozenWolf-Cyber)

FrozenWolf-Cyber

Geek Repo

Location:India

Twitter:@FrozenWolf

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Gokul Adethya's repositories

SIH

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

TRINIT_Import_solution_DEV04

EmailedIn - The Ultimate LinkedIn Profile Finder

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Brain-Tumor-Classification

Fine-tuning pre-trained ResNet50 model to classify the brain scan different types of tumor

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Face-Recognition

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

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Corona-Prediction

Solving time series problem with neural network

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COVID19-Pneumonia-Chest-X-Ray-Detection

Fine-tuning Resnet18 model to predict if the patient has Pneumonia (COVID19) with the help of x-ray

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Neural-Style-Transfer

Comparing perfomance of vgg16 against alexnet in neural style transfer

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Sartorius-Cell-Instance-Segmentation

Training U-Net and Mask R-CNN models for instance segmentation in a neuronal cell

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Dog-Breed-Classifier

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

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GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

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Keres

Server code for keres game hosted in heroku

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L-T-EduTech-Hackathon

Solutions of L&T EduTech Hackathon by our team - Bharatfly_Coders

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LSTM-IMDB-Review-Classification

Classifying IMDB reviews using LSTM with pre-trained GloVe embeddings

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RNN-LSTM-GRU-Comparison

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

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seesawfacenet_pytorch

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

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Siamese-Network

Experimentic with Siamese algorthim

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Tensorflow-Lite-Crack-Detection

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

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TODO

A simple TODO list C program

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