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

Exponential Graph is Provably Efficient for Decentralized Deep Training

Exponential Graph is Provably Efficient for Decentralized Deep Training This code repository is for the paper Exponential Graph is Provably Efficient

3 Apr 20, 2022

Official implement of "CAT: Cross Attention in Vision Transformer".

CAT: Cross Attention in Vision Transformer This is official implement of "CAT: Cross Attention in Vision Transformer". Abstract Since Transformer has

100 Dec 15, 2022

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

MusicYOLO MusicYOLO framework uses the object detection model, YOLOX, to locate notes in the spectrogram. Its performance on the ISMIR2014 dataset, MI

2 Aug 02, 2022

Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G

2 Aug 14, 2022

IEEE Winter Conference on Applications of Computer Vision 2022 Accepted

SSKT(Accepted WACV2022) Concept map Dataset Image dataset CIFAR10 (torchvision) CIFAR100 (torchvision) STL10 (torchvision) Pascal VOC (torchvision) Im

1 Nov 17, 2022

🗺 General purpose U-Network implemented in Keras for image segmentation

TF-Unet General purpose U-Network implemented in Keras for image segmentation Getting started • Training • Evaluation Getting started Looking for Jupy

2 Aug 31, 2022

CLNTM - Contrastive Learning for Neural Topic Model

Contrastive Learning for Neural Topic Model This repository contains the impleme

25 Nov 24, 2022

Unpaired Caricature Generation with Multiple Exaggerations

CariMe-pytorch The official pytorch implementation of the paper "CariMe: Unpaired Caricature Generation with Multiple Exaggerations" CariMe: Unpaired

37 Dec 30, 2022

TLDR; Train custom adaptive filter optimizers without hand tuning or extra labels.

AutoDSP TLDR; Train custom adaptive filter optimizers without hand tuning or extra labels. About Adaptive filtering algorithms are commonplace in sign

48 Sep 19, 2022

Flybirds - BDD-driven natural language automated testing framework, present by Trip Flight

Flybird | English Version 行为驱动开发（Behavior-driven development，缩写BDD），是一种软件过程的思想或者

706 Dec 30, 2022

NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions Overview NUANCED is a user-centric conversational recommen

18 Dec 28, 2021

In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy

PixMix Introduction In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard te

79 Dec 30, 2022

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

Exponential Graph is Provably Efficient for Decentralized Deep Training

Official implement of "CAT: Cross Attention in Vision Transformer".

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

IEEE Winter Conference on Applications of Computer Vision 2022 Accepted

🗺 General purpose U-Network implemented in Keras for image segmentation

CLNTM - Contrastive Learning for Neural Topic Model

Unpaired Caricature Generation with Multiple Exaggerations

TLDR; Train custom adaptive filter optimizers without hand tuning or extra labels.

Flybirds - BDD-driven natural language automated testing framework, present by Trip Flight

NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.

In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

Toontown: Galaxy, a new Toontown game based on Disney's Toontown Online

PyTorch implementation for the paper Pseudo Numerical Methods for Diffusion Models on Manifolds

Official PyTorch implementation of UACANet: Uncertainty Aware Context Attention for Polyp Segmentation

Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

Easily pull telemetry data and create beautiful visualizations for analysis.

An updated version of virtual model making

My implementation of transformers related papers for computer vision in pytorch