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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[Link]mareteutral - pars tradg wth M []

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YOLOV3：You Only Look Once目标检测模型在Tensorflow2当中的实现目录性能情况 Performance 所需环境 Environment 文件下载 Download 训练步骤 How2train 预测步骤 How2predict 评估步骤 How2eval 参考资料

68 Dec 21, 2022

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

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Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images"

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Code for "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" @ICRA2021

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Self-Supervised CNN-GCN Autoencoder

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