surtantheta Goto Github PK

analyzing-weight-initialization-in-neural-networks

In this project we will study the impact of various weight initializations in neural networks on MNIST dataset.

bank_marketing_dataset_machine_learning_project

"Bank Marketing Data Set" from the UCI Machine Learning Repository

bayesian-optimization

Bayesian Optimization on Sign Language Digits Dataset

cat_boost_regressor-and-classifier

cc2vec

cglb

codebert-implementation

Implementation of Natural Language Code Search in the project CodeBERT.

computer-vision-assignments

My solutions to assignments of the course computer vision taken at Chennai Mathematical Institute

diabetic-retinopathy-detection

We aim to create an automated analysis system capable of classifying each retinal image to one of the classes (normal, mild, moderate, severe and proliferative), corresponding to the severity of the disease.

few_shot_antibody_design

Designing antibodies from partial antigen information

knight_tour

mathyb_dataset

Accepted in 6th International Conference on Data Science & Management of Data (CODS-COMAD 2023)

movie_recommendation_apache_pyspark

Build a movie recommendation using collaborative filtering on Apache PySpark

multiclass-medsam

Extending 'MedSAM: Segment Anything in Medical Images' for multiple classes

multilingual-abuse-detetection

Multilingual Abusive Comment Detection is an innovative new challenge towards combating abusive comments on Moj, one of India's largest short-video apps in multiple regional languages.

nlp-assignments

My solutions to assignments of the course natural language processing taken at Chennai Mathematical Institute

pixeld2reald

Calculating real-life distance between 2 human bounding boxes from 2D frames

pnode-fss

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

predicting-sales-using-machine-learning-model

Machine Learning Challenge Predict Selling Price

r-pnode

[TMI'22] Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs

relational-gcn

Applying Relational-GCN for heterogenous datasets like Amazon, IMDB, DBLP, ACM.

santander-customer-transaction-prediction

We perform EDA and implement various ML models to predict customer transaction in Kaggle competition Santander Customer Transaction