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brest-cancer-detection

contextualembeddingdr

Empirical Comparison of Dimensionality Reduction Techniques for Contextual Embeddings over Low Sample Human-Level Tasks

cse-519-dsf

CSE 519 Data Science Fundamentals during fall 2019 by Steve Skiene

cse-538-nlp-sbu

Assignments for CSE 538 NLP by Niranjan Balasubramaniam fall 2019

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.

cse512-ml-sbu

CSE 512 Machine Learning by Prof. Yifan Sun at Stony Brook University for fall 2020.

deep-trace

A Generic Framework for time series forecasting.

humanactivityrecognition

Design Optimization Of Activity Recognition System on an Embedded Platform

introml

IntroML

loadprediction

multiplex-food-sale-prediction

Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks

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

ta-task-automation-using-slack

To make TA Tasks such as scheduling TA hours, tracking progress, etc easier on slack

text

text is an R-package for analysing text and numerical variables using NLP and ML