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

✅ How Robust are Fact Checking Systems on Colloquial Claims?. In NAACL-HLT, 2021.

How Robust are Fact Checking Systems on Colloquial Claims? Official PyTorch implementation of our NAACL paper: Byeongchang Kim*, Hyunwoo Kim*, Seokhee

19 Mar 15, 2022

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video

45 Nov 29, 2022

My published benchmark for a Kaggle Simulations Competition

Lux AI Working Title Bot Please refer to the Kaggle notebook for the comment section. The comment section contains my explanation on my code structure

29 Aug 22, 2022

The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction".

LEAR The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction". **The code is in the "master

93 Jan 07, 2023

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.

Playground for CLIP-like models Demo Colab Link GradCAM Visualization Naive Zero-shot Detection Smarter Zero-shot Detection Captcha Solver Changelog 2

101 Dec 30, 2022

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

AMOS This repository contains the scripts for fine-tuning AMOS pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: Pretraining Text Encoders wi

22 Sep 15, 2022

Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.

PHDimGeneralization Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021. Overvie

13 Nov 08, 2022

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Context Encoders: Feature Learning by Inpainting CVPR 2016 [Project Website] [Imagenet Results] Sample results on held-out images: This is the trainin

829 Dec 31, 2022

Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.

Value Retrieval with Arbitrary Queries for Form-like Documents Introduction Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-

13 Sep 15, 2022

Open-Set Recognition: A Good Closed-Set Classifier is All You Need

Open-Set Recognition: A Good Closed-Set Classifier is All You Need Code for our paper: "Open-Set Recognition: A Good Closed-Set Classifier is All You

194 Jan 03, 2023

3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge

Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay 3rd Place Solution for ICCV 2021 Workshop SS

6 Nov 10, 2022

Secure Distributed Training at Scale

Secure Distributed Training at Scale This repository contains the implementation of experiments from the paper "Secure Distributed Training at Scale"

9 Jul 11, 2022

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding (CVPR'22) Paper Link | Project Page Abstract : Manual an

152 Dec 23, 2022

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

✅ How Robust are Fact Checking Systems on Colloquial Claims?. In NAACL-HLT, 2021.

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

My published benchmark for a Kaggle Simulations Competition

The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction".

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.

Open-Set Recognition: A Good Closed-Set Classifier is All You Need

3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge

Secure Distributed Training at Scale

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

My freqtrade strategies

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages

Codebase of deep learning models for inferring stability of mRNA molecules

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

In the AI for TSP competition we try to solve optimization problems using machine learning.

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

A high performance implementation of HDBSCAN clustering.