CMSC320 - Introduction to Data Science - Fall 2021

Last update: Sep 12, 2022

Related tags

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

Mesh TensorFlow: Model Parallelism Made Easier

Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying

1.3k Dec 26, 2022

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021) This repository is the official P

159 Dec 30, 2022

ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data

ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D

371 Jan 05, 2023

PFLD pytorch Implementation

PFLD-pytorch Implementation of PFLD A Practical Facial Landmark Detector by pytorch. 1. install requirements pip3 install -r requirements.txt 2. Datas

669 Jan 02, 2023

Stock-history-display - something like a easy yearly review for your stock performance

Stock History Display Available on Heroku: https://stock-history-display.herokua

1 Jan 07, 2022

ICSS - Interactive Continual Semantic Segmentation

Presentation This repository contains the code of our paper: Weakly-supervised c

9 Jul 23, 2022

Demonstrates iterative FGSM on Apple's NeuralHash model.

apple-neuralhash-attack Demonstrates iterative FGSM on Apple's NeuralHash model. TL;DR: It is possible to apply noise to CSAM images and make them loo

11 Jun 23, 2022

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Learning Causal Semantic Representation for Out-of-Distribution Prediction This repository is the official implementation of "Learning Causal Semantic

54 Dec 01, 2022

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa

349 Aug 06, 2022

ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

The ImageNet-CoG Benchmark Project Website Paper (arXiv) Code repository for the ImageNet-CoG Benchmark introduced in the paper "Concept Generalizatio

23 Oct 09, 2022

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.

Navier-Stokes-numerical-solution-using-Python- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D D

89 Jan 04, 2023

CMSC320 - Introduction to Data Science - Fall 2021

Related tags

Overview

CMSC320 - Introduction to Data Science - Fall 2021

Owner

Introduction to Data Science

Mesh TensorFlow: Model Parallelism Made Easier

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data

PFLD pytorch Implementation

Stock-history-display - something like a easy yearly review for your stock performance

ICSS - Interactive Continual Semantic Segmentation

Demonstrates iterative FGSM on Apple's NeuralHash model.

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

Using VapourSynth with super resolution models and speeding them up with TensorRT.

Anchor-free Oriented Proposal Generator for Object Detection

Exporter for Storage Area Network (SAN)

My solution for the 7th place / 245 in the Umoja Hack 2022 challenge

Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks

Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection

Pre-training of Graph Augmented Transformers for Medication Recommendation

Energy consumption estimation utilities for Jetson-based platforms

Official PyTorch implementation of "Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient".