ACM-Research/Coding-Challenge-S21

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ACM-Research/Coding-Challenge-S21

ACM-Research

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Coding challenge for Spring 2021 cohort

targeted-password-guesses

We refined a GPT-3 model on Wattpad user account data to generate targeted password guesses automatically.

Jupyter Notebook

online-portfolio-selection

ACM Research 2021 | Implementing and benchmarking the performance of various online portfolio selection algorithms on real-world trading scenarios.

temporal-lidar

ACM Research 2021 | Improving the Utility of Temporal LIDAR Data in Semantic Segmentation

Deep-Learning-for-Brain-Disorders

While deep learning for brain disorder diagnosis has become pretty advanced over the past few years, many studies have only focused on the diagnosis of one disorder. There are countless studies showing how effective deep learning is to detect Alzheimer’s, or schizophrenia, or brain tumors, but not any that try to detect all three. In this project, participants will use deep learning to classify 3-4 brain disorders, such as Alzheimer's and schizophrenia, using MRI brain scans, by creating a working probability model.

vr-viewport-analysis

ACM Research 2020 | Using viewport prediction based on features users are more likely to view to reduce data bandwidth.

Jupyter Notebook

thephishingproject

ACM Research 2020 | An email parser used to identify potential phishing attacks targeted towards college students and administration.

exoplanet-atmosphere-analysis-with-ML

Jupyter Notebook

text-mining-extraction

ACM Research Spring 2021 | Explore a variety of data and text mining methodologies to develop a tool that extracts information from historical documents, generates scores based on the data, and helps researchers approach conclusions about the documents.

music-generation

ACM Research 2021 | Generating Music using LSTM Neural Networks

Jupyter Notebook

language-trends-mobile-keyboard

We trained a recurrent neural network model on Tweets from crypto bros, K-pop stans, and other Twitter subgroups.

Jupyter Notebook

interactive-game-development

Machine learning techniques are becoming increasingly popular in the field of human-computer interaction. With this in mind, participants will program their own version of the web-based video game "Slither.io" but controlled using hand gestures through a computer webcam, rather than a keyboard like the original game. To achieve this, they will design and train a deep neural network that translates the position of the gamer's hand into game controls.

Jupyter Notebook

IoTSecurityVulnerabilities

Coding-Challenge-S22

cnn-music-classification

Jupyter Notebook

image-classification-cnn

ACM Research 2020 | A convolutional neural network to classify retinal optical coherence tomography scans.

Jupyter Notebook

ROVer-Optometry-Underwater-Object-Detection

The members in this team will learn the basics of image classification to then be immediately thrown into the ringer to train a model that can detect certain types of objects under various measures of turbid water by utilizing CNNs (Convolutional neural networks) such as YOLO or MobileNet.

Fall-2023-Research-Projects

vr-user-behavior-clustering

Analyze user behavior data within VR videos and categorize users based on their viewing behavior for any VR Video. ACM Research Fall 2021

Jupyter Notebook

NLP-Summarizer

ACM Research 2020 | Analyzing text summarization with five different extractive and abstractive models.

Jupyter Notebook

Agent-Chase

A game where one player tries to stop another from reaching the goals. This is meant to be a project demonstrating a genetic algorithm that succeeds for both players.

explainable-artificial-intelligence

“Explainable AI” (XAI) is a hot topic in the machine learning research space, and for good reason: it allows researchers to get a glimpse into the once black-box algorithms that increasingly govern our digital lives. XAI is about understanding the predictions and reasoning that AI systems use.

swarm-robotics-algorithm-comparison

Explore algorithms that use swarm robotics concepts to accomplish difficult tasks, implement such algorithms, and compare the speed and accuracy of these algorithms when competing in various tasks like moving across an environment with obstacles and collecting items throughout an environment.

Coding-Challenge-F21

Coding challenge for the Fall 2021 cohort

Conceal-and-Reveal

Exploring Image Steganography and Steganalysis in a semester-long student led and professor advised research project in ACM Research.

Jupyter Notebook

reinforcement-learning-traffic-control

ACM Research 2022 | Reinforcement Learning for Traffic Light Control

object-detection-thermal-img

Jupyter Notebook

vr-user-behavior-analysis

ACM Research 2021 | Exploring user behavior in virtual reality through heat map visualization and behavior classification.

fraudulent-website-detection

ACM Research Fall 2021 | Develop multiple machine learning models to determine which approach would provide the most accurate fraud classifications.

Jupyter Notebook