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

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My freqtrade strategies

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A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

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Unrolled Generative Adversarial Networks

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682 Jan 04, 2023

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QueryInst: Parallelly Supervised Mask Query for Instance Segmentation

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386 Jan 08, 2023

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

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Code for generating a single image pretraining dataset

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291 Jan 02, 2023

Find-Lane-Line - Use openCV library and Python to detect the road-lane-line

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Production First and Production Ready End-to-End Speech Recognition Toolkit

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PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

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Finding Donors for CharityML

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Code for the bachelors-thesis flaky fault localization

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Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

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Code for "Searching for Efficient Multi-Stage Vision Transformers"

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62 Oct 25, 2022

LUKE -- Language Understanding with Knowledge-based Embeddings

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587 Dec 30, 2022