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cats-vs-dogs-classification

classifying_shoulder_implants_in_x_ray_images

Total Shoulder Arthroplasty (TSA) is a type of surgery in which the damaged ball of the shoulder is replaced with a prosthesis. Many years later, this prosthesis may be in need of servicing or replacement. In some situations, such as when the patient has changed his country of residence, the model and the manufacturer of the prosthesis may be unknown to the patient and primary doctor. Correct identification of the implant’s model prior to surgery is required for selecting the correct equipment and procedure.

company-profile-system

content-aware-image-resizing

Resizing Images using Dynamic Programming concept to maintain the resolution

contrastive-learning

Contrastive learning is a machine learning technique used to learn the general features of a dataset without labels by teaching the model which data points are similar or different.

cyclopeptide-sequencing

deep-learning-specialization-coursera

Here you can find all the assignment solutions for all the courses of the Deep Learning Specialization offered by deeplearning.ai on Coursera.

depression_detection_via_twitter

genome-assembly

hangman

learncpp

Learn Cpp from Beginner to Advanced ✅ Practice 🎯 Code 💻 Repeat 🔁 One step solution for c++ beginners and cp enthusiasts.

multi-channel-queue-simulation

multi-task-learning

Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately.

music-score-reader

nussinov-algorithm

The Nussinov algorithm is a nucleic acid structure prediction algorithm used in computational biology to predict the folding of an RNA molecule that makes use of dynamic programming principles.

realtime-visual-question-answering

Visual Question Answering (VQA) is a computer vision task where a system is given a text-based question about an image, and it must infer the answer. Questions can be arbitrary and they encompass many sub-problems in computer vision, e.g., Object recognition - What is in the image?

traffic-signs-recognition

virus_fighter

This is our OOP Project.

vision-transformer-on-cifar

This is my implementation of Vision Transformer on CIFAR-10 dataset.

widebot_firsttask

widebot_secondtask