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

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the

2 Dec 01, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)

CrossNorm (CN) and SelfNorm (SN) (Accepted at ICCV 2021) This is the official PyTorch implementation of our CNSN paper, in which we propose CrossNorm

100 Dec 28, 2022

Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

CrossTeaching-SSOD 0. Introduction Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection" This repo include

9 Nov 29, 2022

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

Introduction Version: 2.3.8 Authors: Chris Fonnesbeck Anand Patil David Huard John Salvatier Web site: https://github.com/pymc-devs/pymc Documentation

7.2k Jan 07, 2023

A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

Imaging Transcriptomics Imaging transcriptomics is a methodology that allows to identify patterns of correlation between gene expression and some prop

10 Dec 27, 2022

Turn based roguelike in python

pyTB Turn based roguelike in python Documentation can be found here: http://mcgillij.github.io/pyTB/index.html Screenshot Dependencies Written in Pyth

4 Sep 29, 2022

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks.

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional

28 Jan 08, 2023

Head and Neck Tumour Segmentation and Prediction of Patient Survival Project

Head-and-Neck-Tumour-Segmentation-and-Prediction-of-Patient-Survival Welcome to the Head and Neck Tumour Segmentation and Prediction of Patient Surviv

5 Oct 20, 2022

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Official Pytorch Implementation for GLFC [CVPR-2022] Federated Class-Incremental Learning This is the official implementation code of our paper "Feder

57 Dec 27, 2022

Simple Pixelbot for Diablo 2 Resurrected written in python and opencv.

Simple Pixelbot for Diablo 2 Resurrected written in python and opencv. Obviously only use it in offline mode as it is against the TOS of Blizzard to use it in online mode!

468 Jan 03, 2023

SE3 Pose Interp - Interpolate camera pose or trajectory in SE3, pose interpolation, trajectory interpolation

SE3 Pose Interpolation Pose estimated from SLAM system are always discrete, and

4 Dec 15, 2022

The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* This code is based on MMdetecti

112 Jan 05, 2023

CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image.

CoReNet CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image. It produces coherent reconstructions, where all objec

80 Dec 25, 2022

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

Part Detector Discovery This is the code used in our paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodne

17 Feb 22, 2022

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

Text-AutoAugment (TAA) This repository contains the code for our paper Text AutoAugment: Learning Compositional Augmentation Policy for Text Classific

105 Jan 03, 2023

VOS: Learning What You Don’t Know by Virtual Outlier Synthesis

VOS This is the source code accompanying the paper VOS: Learning What You Don’t

248 Dec 25, 2022

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)

Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

Turn based roguelike in python

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks.

Head and Neck Tumour Segmentation and Prediction of Patient Survival Project

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Simple Pixelbot for Diablo 2 Resurrected written in python and opencv.

SE3 Pose Interp - Interpolate camera pose or trajectory in SE3, pose interpolation, trajectory interpolation

The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image.

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

Link prediction using Multiple Order Local Information (MOLI)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

AQP is a modular pipeline built to enable the comparison and testing of different quality metric configurations.

It's a powerful version of linebot

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

VOS: Learning What You Don’t Know by Virtual Outlier Synthesis

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts (ICCV 2021)

Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

Turn based roguelike in python

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks.

Head and Neck Tumour Segmentation and Prediction of Patient Survival Project

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Simple Pixelbot for Diablo 2 Resurrected written in python and opencv.

SE3 Pose Interp - Interpolate camera pose or trajectory in SE3, pose interpolation, trajectory interpolation

The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image.

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

Link prediction using Multiple Order Local Information (MOLI)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

AQP is a modular pipeline built to enable the comparison and testing of different quality metric configurations.

It's a powerful version of linebot

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

VOS: Learning What You Don’t Know by Virtual Outlier Synthesis

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: