Adithya V Ganesan's repositories
HumanActivityRecognition
Design Optimization Of Activity Recognition System on an Embedded Platform
ContextualEmbeddingDR
Empirical Comparison of Dimensionality Reduction Techniques for Contextual Embeddings over Low Sample Human-Level Tasks
TA-Task-Automation-Using-Slack
To make TA Tasks such as scheduling TA hours, tracking progress, etc easier on slack
CSE-538-NLP-SBU
Assignments for CSE 538 NLP by Niranjan Balasubramaniam fall 2019
Deep-Trace
A Generic Framework for time series forecasting.
Multiplex-Food-Sale-Prediction
Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks
adithya8.github.io
Personal Webpage
CSE-545-Big-Data
Assignments for CSE 545 Grad level Big Data coursework at Stony brook CS by Prof. H Andrew Schwartz during the Spring 2020.
CSE-519-DSF
CSE 519 Data Science Fundamentals during fall 2019 by Steve Skiene
CSE512-ML-SBU
CSE 512 Machine Learning by Prof. Yifan Sun at Stony Brook University for fall 2020.
IntroML
IntroML
P-tuning-v2
Source code and data for ACL 2022 paper "P-tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks"
PrefixTuning
Prefix-Tuning: Optimizing Continuous Prompts for Generation
text
text is an R-package for analysing text and numerical variables using NLP and ML