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I am Gokul Adethya, a 3rd year student at the National Institute of Technology Tiruchirappalli in the Computer Science Department. I am a deep-learning enthusiast. I am deeply interested in contributing to the human-centric domain of ML and AI, which will help aid humans in day-to-day life, such as in health care, using computer vision, reinforcement learning, and natural language processing.

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āš” Fun fact :

  • šŸ‘Æ Iā€™m looking to collaborate on projects involving ML/AI.
  • šŸŽµ I love to hear music while jogging.

Let's Connect ā˜•


FrozenWolf's GitHub activity graph


Familiar With :

šŸš€ Languages

C# Python C JavaScript CSS3 Java

šŸ’» Libraries & Framework

Bootstrap OpenCV Flask NumPy Pandas

šŸ‘Øā€šŸ’» Deep Learning Libraries

PyTorch scikit-learn TensorFlow Keras

šŸ§‘šŸ»ā€šŸ’» Tools & Platform

Git Android Studio VS Code VS Google Colab Kaggle Atom Jupyter Notebook PyCharm Sublime Text

šŸ§‘šŸ»ā€šŸ’» OS

Ubuntu Windows Android

Github Stats :

snake

Gokul Adethya's Projects

dog-breed-classifier icon 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

face-recognition icon 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

groundingdino icon groundingdino

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

keres icon keres

Server code for keres game hosted in heroku

rnn-lstm-gru-comparison icon 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

sih icon 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

tensorflow-lite-crack-detection icon 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

todo icon todo

A simple TODO list C program

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