Prawesh Dahal, PhD's repositories
speech_emotion_recognition
In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conventionally used Support Vector Machine (SVM) and its performance is compared to that of a bidirectional long short-term memory (LSTM).
ICASSP-2024-auditory-eeg-challenge
AUDEEG challenge for ICASSP 2024
PyTorch-projects
Machine Learning essentials in PyTorch
buzcode
Code for internal lab sharing - polishing has started but is by no means complete
dogs_vs_cats_kaggle
Exploring Kaggle Competition with different networks
HC-CX-iEEG
Repository of important codes used in PhD thesis
machine-learning
This repository contains my written/coding solutions from Machine Learning graduate course at Columbia University.
praweshd.github.io
I am currently a Ph.D. student in Electrical Engineering at Columbia University, NY, USA. I work under Prof. Khodagholy in Translational Neuroelectronics Lab. This is a place for me to share my learning experience along my doctorate journey.
sign_language_detection
This repo implements a convolutional neural network (CNN) to perform a classification task on the American Sign Language Finger Spelling Dataset.