sibasmarak
PhD in CS @ EPFL | MSc (Thesis) in CS @ McGill University and Mila | Undergrad in CSE @ Indian Institute of Technology Kharagpur.
EPFLLausanne, Switzerland
Pinned Repositories
corona-x-ray-effat-university
COVID 19 detection from X-ray images using deep learning
coursera
A compilation of Coursera courses undertaken
CS29003-Algorithms-I-Lab
Algorithms!
CSE-5th-Semester-IIT-KGP
Programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
CSE-6th-Semester-IIT-KGP
Programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
CSE-7th-Semester-IIT-KGP
Tests, programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
elections
A complete framework to analyze, enhance, and simplify the study of Facebook posts during elections. Design classifiers for different parties. Perform topic modeling of posts related to parties.
Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.
SymmCD
write-your-thoughts
A website for authors to publish their works (term project for CS29006 - Software Engineering Lab, IIT Kharagpur)
sibasmarak's Repositories
sibasmarak/CSE-5th-Semester-IIT-KGP
Programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
sibasmarak/SymmCD
sibasmarak/Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.
sibasmarak/CSE-6th-Semester-IIT-KGP
Programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
sibasmarak/CS29003-Algorithms-I-Lab
Algorithms!
sibasmarak/CSE-7th-Semester-IIT-KGP
Tests, programming assignments and their solution for some courses offered by Department of Computer Science and Engineering, IIT Kharagpur
sibasmarak/corona-x-ray-effat-university
COVID 19 detection from X-ray images using deep learning
sibasmarak/coursera
A compilation of Coursera courses undertaken
sibasmarak/CS29006-Software-Engineering-Lab
assignments of software engineering lab
sibasmarak/guided-image-retrieval
sibasmarak/sibasmarak.github.io
sibasmarak/elections
A complete framework to analyze, enhance, and simplify the study of Facebook posts during elections. Design classifiers for different parties. Perform topic modeling of posts related to parties.
sibasmarak/write-your-thoughts
A website for authors to publish their works (term project for CS29006 - Software Engineering Lab, IIT Kharagpur)
sibasmarak/CausalInferenceProject
sibasmarak/COMP760-Project
Project for COMP 760
sibasmarak/MLRC
Editorial venue for ML Reproducibility Challenge Accepted papers
sibasmarak/Student_CGPA
Use of Machine Learning to predict Grade Point Average of studetns
sibasmarak/towards-equivariant-adaptation-blogpost
Template repository for the blogposts
sibasmarak/vte-bert
Visual grounding with BERT based models (BTech project part 2 - IIT Kharagpur)