CMSC320 - Introduction to Data Science - Fall 2021

Last update: Sep 12, 2022

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Deep Learning spring2022

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla

Lectures: MW 3:30-4:45 & 5:00-6:15, in Iribe

Website: https://cmsc320.github.io/

This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Spring 2022 session of the University of Maryland introductory data science course. The repository will be updated over the course of the semester.

Owner

Introduction to Data Science

CMSC320 - Introduction to Data Science - University of Maryland

GitHub Repository

A Simulated Optimal Intrusion Response Game

Optimal Intrusion Response An OpenAI Gym interface to a MDP/Markov Game model for optimal intrusion response of a realistic infrastructure simulated u

10 Dec 09, 2022

This is a simple framework to make object detection dataset very quickly

FastAnnotation Table of contents General info Requirements Setup General info This is a simple framework to make object detection dataset very quickly

1 Jan 24, 2022

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

100 Sep 28, 2022

Text completion with Hugging Face and TensorFlow.js running on Node.js

Katana ML Text Completion 🤗 Description Runs with with Hugging Face DistilBERT and TensorFlow.js on Node.js distilbert-model - converter from Hugging

2 Nov 04, 2022

Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

7 Oct 31, 2022

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

A Simulated Optimal Intrusion Response Game

This is a simple framework to make object detection dataset very quickly

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

Text completion with Hugging Face and TensorFlow.js running on Node.js

Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)

A Broader Picture of Random-walk Based Graph Embedding

This is a official repository of SimViT.

[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

In this project we use both Resnet and Self-attention layer for cat, dog and flower classification.

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)

This is an official pytorch implementation of Fast Fourier Convolution.

Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

Code to reproduce the results in "Visually Grounded Reasoning across Languages and Cultures", EMNLP 2021.

Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature-Based Decisions

GrabGpu_py: a scripts for grab gpu when gpu is free