Examples of how to create colorful, annotated equations in Latex using Tikz.

Overview

The file "eqn_annotate.tex" is the main latex file.

This repository provides four examples of annotated equations:

  1. [example_prob.tex] A simple one inside the equation construct, in a double column format
  2. [example_prob2.tex] A more complex one, but this time inside the figure construct in a double column format
  3. [example_laplace.tex] Inside the wrapfigure construct but for a single column format
  4. [example_overlay.tex] More complicated examples, side-by-side using the minipage construct in a single column format

The folder, "example_output_figs" includes figures that show the outputs of the above four cases.

Note: the main latex file, "eqn_annotate.tex" includes many latex packages and some definitions that are required.

To build all the examples into a single file, type:

make

OR

pdflatex (or xelatex) eqn_annotate

The output PDF file (containing all the examples) is named: eqn_annotate.pdf

NOTE: the "make" command will show the following errors at the end:

I found no \citation commands---while reading file eqn_annotate.aux I found no \bibdata command---while reading file eqn_annotate.aux I found no \bibstyle command---while reading file eqn_annotate.aux

This is due to the fact that the latex files contain no bibtex entries or citations. This is normal. If you include a bib file and one or more citations then the errors will go away.

Examples

  • [example_prob.tex] A simple one inside the equation construct, in a double column format

example_prob.tex output

  • [example_prob2.tex] A more complex one, but this time inside the figure construct in a double column format

example_prob2.tex output

  • [example_laplace.tex] Inside the wrapfigure construct but for a single column format

example_laplace.tex output

  • [example_overlay.tex] More complicated examples, side-by-side using the minipage construct in a single column format

example_overlay.tex output

Owner
SyNeRCyS Research Lab
SyNeRCyS Research Lab
Assginment for UofT CSC420: Intro to Image Understanding

Run the code Open edge_detection.ipynb in google colab. Upload image1.jpg,image2.jpg and my_image.jpg to '/content/drive/My Drive'. chooose 'Run all'

Ziyi-Zhou 1 Feb 24, 2022
Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Train aug_clip against laion400m-embeddings found here: https://laion.ai/laion-400-open-dataset/ - note that this used the base ViT-B/32 CLIP model. S

Peter Baylies 55 Sep 13, 2022
Unsupervised Foreground Extraction via Deep Region Competition

Unsupervised Foreground Extraction via Deep Region Competition [Paper] [Code] The official code repository for NeurIPS 2021 paper "Unsupervised Foregr

28 Nov 06, 2022
Multi-Task Learning as a Bargaining Game

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

Aviv Navon 87 Dec 26, 2022
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

Computational Linguistics Research Group 8.4k Jan 03, 2023
CMT: Convolutional Neural Networks Meet Vision Transformers

CMT: Convolutional Neural Networks Meet Vision Transformers [arxiv] 1. Introduction This repo is the CMT model which impelement with pytorch, no refer

FlyEgle 83 Dec 30, 2022
Implements Gradient Centralization and allows it to use as a Python package in TensorFlow

Gradient Centralization TensorFlow This Python package implements Gradient Centralization in TensorFlow, a simple and effective optimization technique

Rishit Dagli 101 Nov 01, 2022
Unsupervised Image-to-Image Translation

UNIT: UNsupervised Image-to-image Translation Networks Imaginaire Repository We have a reimplementation of the UNIT method that is more performant. It

Ming-Yu Liu 劉洺堉 1.9k Dec 26, 2022
Hierarchical Metadata-Aware Document Categorization under Weak Supervision (WSDM'21)

Hierarchical Metadata-Aware Document Categorization under Weak Supervision This project provides a weakly supervised framework for hierarchical metada

Yu Zhang 53 Sep 17, 2022
A Pytorch Implementation of [Source data‐free domain adaptation of object detector through domain

A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and

1 Dec 25, 2021
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima

Google Research 876 Dec 17, 2022
Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

Şebnem 6 Jan 18, 2022
scikit-learn: machine learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started

scikit-learn 52.5k Jan 08, 2023
Magic tool for managing internet connection in local network by @zalexdev

Megacut ✂️ A new powerful Python3 tool for managing internet on a local network Installation git clone https://github.com/stryker-project/megacut cd m

Stryker 12 Dec 15, 2022
Grammar Induction using a Template Tree Approach

Gitta Gitta ("Grammar Induction using a Template Tree Approach") is a method for inducing context-free grammars. It performs particularly well on data

Thomas Winters 36 Nov 15, 2022
PyTorch implementation of adversarial patch

adversarial-patch PyTorch implementation of adversarial patch This is an implementation of the Adversarial Patch paper. Not official and likely to hav

Jamie Hayes 172 Nov 29, 2022
Unrolled Generative Adversarial Networks

Unrolled Generative Adversarial Networks Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein arxiv:1611.02163 This repo contains an example notebo

Ben Poole 292 Dec 06, 2022
This repository contains implementations and illustrative code to accompany DeepMind publications

DeepMind Research This repository contains implementations and illustrative code to accompany DeepMind publications. Along with publishing papers to a

DeepMind 11.3k Dec 31, 2022
A trusty face recognition research platform developed by Tencent Youtu Lab

Introduction TFace: A trusty face recognition research platform developed by Tencent Youtu Lab. It provides a high-performance distributed training fr

Tencent 956 Jan 01, 2023
Extracts essential Mediapipe face landmarks and arranges them in a sequenced order.

simplified_mediapipe_face_landmarks Extracts essential Mediapipe face landmarks and arranges them in a sequenced order. The default 478 Mediapipe face

Irfan 13 Oct 04, 2022