kandi background
kandi background
Explore Kits
kandi background
Explore Kits
Explore all Education related open source software, libraries, packages, source code, cloud functions and APIs.

The Education Industry comprises establishments whose primary objective is to provide education. These establishments can be public, non-profit, or for-profit institutions. They include elementary schools, secondary schools, online learning, community colleges, universities, and ministries or departments of education.

These software components cover functions across Academia, e learning, Edutech, Hackathon, LMS, Research areas.

Popular New Releases in Education

three.js

r139

keras

Keras Release 2.9.0 RC2

scikit-learn

scikit-learn 1.0.2

faceswap

Faceswap Windows and Linux Installers v2.0.0

phaser

Phaser v3.55.2

three.js

r139

keras

Keras Release 2.9.0 RC2

scikit-learn

scikit-learn 1.0.2

faceswap

Faceswap Windows and Linux Installers v2.0.0

phaser

Phaser v3.55.2

Popular Libraries in Education

freeCodeCamp

by freeCodeCamp javascript

star image 344419 BSD-3-Clause

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

system-design-primer

by donnemartin python

star image 143449 NOASSERTION

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

three.js

by mrdoob javascript

star image 80965 MIT

JavaScript 3D Library.

keras

by keras-team python

star image 55007 Apache-2.0

Deep Learning for humans

awesome-machine-learning

by josephmisiti python

star image 51223 NOASSERTION

A curated list of awesome Machine Learning frameworks, libraries and software.

scikit-learn

by scikit-learn python

star image 49728 BSD-3-Clause

scikit-learn: machine learning in Python

Web-Dev-For-Beginners

by microsoft javascript

star image 44908 MIT

24 Lessons, 12 Weeks, Get Started as a Web Developer

faceswap

by deepfakes python

star image 38275 GPL-3.0

Deepfakes Software For All

Deep-Learning-Papers-Reading-Roadmap

by floodsung python

star image 30347

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

freeCodeCamp

by freeCodeCamp javascript

star image 344419 BSD-3-Clause

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

system-design-primer

by donnemartin python

star image 143449 NOASSERTION

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

three.js

by mrdoob javascript

star image 80965 MIT

JavaScript 3D Library.

keras

by keras-team python

star image 55007 Apache-2.0

Deep Learning for humans

awesome-machine-learning

by josephmisiti python

star image 51223 NOASSERTION

A curated list of awesome Machine Learning frameworks, libraries and software.

scikit-learn

by scikit-learn python

star image 49728 BSD-3-Clause

scikit-learn: machine learning in Python

Web-Dev-For-Beginners

by microsoft javascript

star image 44908 MIT

24 Lessons, 12 Weeks, Get Started as a Web Developer

faceswap

by deepfakes python

star image 38275 GPL-3.0

Deepfakes Software For All

Deep-Learning-Papers-Reading-Roadmap

by floodsung python

star image 30347

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Trending New libraries in Education

Web-Dev-For-Beginners

by microsoft javascript

star image 44908 MIT

24 Lessons, 12 Weeks, Get Started as a Web Developer

AI-Expert-Roadmap

by AMAI-GmbH javascript

star image 13925 MIT

Roadmap to becoming an Artificial Intelligence Expert in 2021

30-Days-Of-React

by Asabeneh javascript

star image 8139

30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.

DeepSpeed

by microsoft python

star image 6633 MIT

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

ultimate-python

by huangsam python

star image 2986 MIT

Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

igel

by nidhaloff python

star image 2921 MIT

a delightful machine learning tool that allows you to train, test, and use models without writing code

stylegan2-pytorch

by lucidrains python

star image 2738 MIT

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

gpt3-sandbox

by shreyashankar javascript

star image 2398 MIT

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

TensorFlowTTS

by TensorSpeech python

star image 2140 Apache-2.0

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Web-Dev-For-Beginners

by microsoft javascript

star image 44908 MIT

24 Lessons, 12 Weeks, Get Started as a Web Developer

AI-Expert-Roadmap

by AMAI-GmbH javascript

star image 13925 MIT

Roadmap to becoming an Artificial Intelligence Expert in 2021

30-Days-Of-React

by Asabeneh javascript

star image 8139

30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.

DeepSpeed

by microsoft python

star image 6633 MIT

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

ultimate-python

by huangsam python

star image 2986 MIT

Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

igel

by nidhaloff python

star image 2921 MIT

a delightful machine learning tool that allows you to train, test, and use models without writing code

stylegan2-pytorch

by lucidrains python

star image 2738 MIT

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

gpt3-sandbox

by shreyashankar javascript

star image 2398 MIT

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

TensorFlowTTS

by TensorSpeech python

star image 2140 Apache-2.0

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Top Authors in Education

1

PacktPublishing

128 Libraries

4389

2

microsoft

46 Libraries

68102

3

IBM

19 Libraries

377

4

facebookresearch

13 Libraries

34537

5

rimorsoft

11 Libraries

177

6

moodleou

11 Libraries

135

7

mozilla

10 Libraries

1971

8

aws-samples

10 Libraries

3506

9

UKPLab

10 Libraries

126

10

Azure-Samples

10 Libraries

131

1

128 Libraries

4389

2

46 Libraries

68102

3

19 Libraries

377

4

13 Libraries

34537

5

11 Libraries

177

6

11 Libraries

135

7

10 Libraries

1971

8

10 Libraries

3506

9

10 Libraries

126

10

10 Libraries

131

Trending Kits in Education

It has been 10 years since the first blog post by Eben Upton announcing the Raspberry Pi. After 6 families of Raspberry Pi releases and over forty million boards sold, the Raspberry Pi has become a fan favorite. While the initial intent of the Raspberry Pi project was teaching introductory computer science in schools, especially in developing countries, it has found massive success in the hobbyist market.

The Raspberry Pi is an economical computer that runs Linux and provides GPIO (general purpose input/output) pins, allowing control of components for physical computing and the Internet of Things (IoT). Developers use the Raspberry Pi to learn to program, build hardware projects, do home automation, implement Kubernetes clusters and Edge computing, and even use them in industrial applications.

The Raspberry Pi Foundation works to put the power of computing and digital making into the hands of people all over the world. Code Club and CoderDojo are part of the Raspberry Pi Foundation. Raspberry Jams are Raspberry Pi focused events for people of all ages to learn about Raspberry Pi and share ideas and projects.

kandi collections on 10 Years of Raspberry Pi, showcases the most popular libraries across hobbyist uses cases, home automation, IoT, OS and utilities for Raspberry Pi. Hobbyist usecases span across health care, morse code, vision, servo motors, bitcoin, gaming, music, and many others demonstrating the versatility of the humble Raspberry Pi.

Hobbyist Projects

Refer below libraries for interesting projects across use cases in health care, morse code, vision, servo motors, bitcoin, gaming, music, and others.

Home Automation Projects

Use these libraries for projects ranging from a secure offline home automation framework to interesting projects like magic mirror, bathroom occupancy notifier to more serious pursuits like gas sensors.

IoT Libraries for Raspberry Pi

From learning IoT to implementing the full stack, these libraries also provide use cases to connect with AWS and Azure.

Operating Systems for Raspberry Pi

From base Linux to lightweight and hardened versions, there are multiple OS choices to experiment with your Raspberry Pi project.

Utilities for Raspberry Pi

Leverage these popular utilities in your Raspberry Pi projects.

Describe your solution here. e.g. Our solution is a Mental Health Monitor and Virtual Companion for students in the digital classroom. It acts as a virtual friend to the student and keeps her company during online classes. It also reminds her of class schedules, submissions, and other aspects of the classroom. It monitors for mental wellbeing vitals like class participation, connecting with friends, and sends motivational messages. In future versions, we can add connect with parents, teachers, and other stakeholders to address the well-being and academic excellence in a holistic manner. We have used the below techniques for our solution. 1. Machine learning to train for the virtual conversations for the virtual companion. 2. Data exploration to explore the academic and digital activity data to use in training for predicting behavior patterns.

Machine Learning

You may be using multiple libraries for different functions in your solution. Please create one group for each function and add the libraries to each group. e.g. I have created a group for Machine Learning which has the libraries used in my solution. The below libraries helps in capturing the embeddings for the text. The embeddings are vectoral representation of text with their semantics.

Data Exploration

You may be using multiple libraries for different functions in your solution. Please create one group for each function and add the libraries to each group. e.g. I have created a group for the libraries used for Data Exploration in my solution. The data exploration helps in doing extensive analysis of different data types and in assisting to understand the patterns. Pandas is used in our solution for data manipulation and analysis.

Challenge Statement 1 The Pandemic has impacted education - classes have moved online, students have been isolated on screens and coping with this change. Despite the challenges, the digital school has the potential to transform education. How can we empower students and teachers in this new digital school paradigm? In this challenge, we are inviting AI-powered solutions for the digital school of tomorrow Current State According to UNESCO, by the end of March 2020 over 1.5 billion pupils or 87 per cent of the world’s student population across 165 countries had been affected by school closures caused by COVID-19.1 In Australia, K-12 schools have experienced interruptions in every state and territory, although the extent and period of closures have varied significantly across jurisdictions. In early May, only 3 percent of children in Victorian government schools were in attendance, whereas the Northern Territory had returned to normal levels of 79 per cent. As school moves online, students, teachers and parents are faced with numerous challenges: • reduced one-to-one engagement with teachers • difficulty in ascertaining engagement levels of students • restricted ability to monitor individual student progress • increased level of oversight required from parents and carers (particularly for younger children) • increased social isolation and reduced ability to support student wellbeing • interruption to learning support for those children with additional needs • differential levels of access to technology, including internet and devices, to support learning. Solution Overview 1. Value Proposition IBUDDY is a virtual study buddy to make online learning more engaging, enjoyable and effective for kids - Utilise AI technology to monitor the attention level of children during class and provide timely reminder - Monitor student’s interest and engagement - Provide virtual companion and a sense of social interaction 2. Competitive Landscape This is grounded in evidence that getting students DOING within the learning experience is a factor in student success (Kilgo, Ezell Sheets, & Pascarella, 2015). However, there is no existing tools or program to support both students and teachers in the online learning process. Even though Zoom and Microsoft Team have provided some interactive tools like Breakout rooms, Polls and Whiteboard sharing, these tools show minimal impacts on young students, the one who suffer most with digital learning. Considering that online learning will still be a potential learning method and environment after the pandemic, IBuddy expects to provide long lasting values to both learners and teachers. The program also poses a great first-mover advantage Kilgo, C. A., Ezell Sheets, J. K., & Pascarella, E. T. (2015). The link between high-impact practices and student learning: some longitudinal evidence. Higher Education, 69(4), 509-525. doi:10.1007/s10734-014-9788-z UNESCO, UNESCO rallies international organizations, civ

Eye-contact-cnn

Zoom-interaction

It has been 10 years since the first blog post by Eben Upton announcing the Raspberry Pi. After 6 families of Raspberry Pi releases and over forty million boards sold, the Raspberry Pi has become a fan favorite. While the initial intent of the Raspberry Pi project was teaching introductory computer science in schools, especially in developing countries, it has found massive success in the hobbyist market.

The Raspberry Pi is an economical computer that runs Linux and provides GPIO (general purpose input/output) pins, allowing control of components for physical computing and the Internet of Things (IoT). Developers use the Raspberry Pi to learn to program, build hardware projects, do home automation, implement Kubernetes clusters and Edge computing, and even use them in industrial applications.

The Raspberry Pi Foundation works to put the power of computing and digital making into the hands of people all over the world. Code Club and CoderDojo are part of the Raspberry Pi Foundation. Raspberry Jams are Raspberry Pi focused events for people of all ages to learn about Raspberry Pi and share ideas and projects.

kandi collections on 10 Years of Raspberry Pi, showcases the most popular libraries across hobbyist uses cases, home automation, IoT, OS and utilities for Raspberry Pi. Hobbyist usecases span across health care, morse code, vision, servo motors, bitcoin, gaming, music, and many others demonstrating the versatility of the humble Raspberry Pi.

Hobbyist Projects

Refer below libraries for interesting projects across use cases in health care, morse code, vision, servo motors, bitcoin, gaming, music, and others.

Home Automation Projects

Use these libraries for projects ranging from a secure offline home automation framework to interesting projects like magic mirror, bathroom occupancy notifier to more serious pursuits like gas sensors.

IoT Libraries for Raspberry Pi

From learning IoT to implementing the full stack, these libraries also provide use cases to connect with AWS and Azure.

Operating Systems for Raspberry Pi

From base Linux to lightweight and hardened versions, there are multiple OS choices to experiment with your Raspberry Pi project.

Utilities for Raspberry Pi

Leverage these popular utilities in your Raspberry Pi projects.

Describe your solution here. e.g. Our solution is a Mental Health Monitor and Virtual Companion for students in the digital classroom. It acts as a virtual friend to the student and keeps her company during online classes. It also reminds her of class schedules, submissions, and other aspects of the classroom. It monitors for mental wellbeing vitals like class participation, connecting with friends, and sends motivational messages. In future versions, we can add connect with parents, teachers, and other stakeholders to address the well-being and academic excellence in a holistic manner. We have used the below techniques for our solution. 1. Machine learning to train for the virtual conversations for the virtual companion. 2. Data exploration to explore the academic and digital activity data to use in training for predicting behavior patterns.

Machine Learning

You may be using multiple libraries for different functions in your solution. Please create one group for each function and add the libraries to each group. e.g. I have created a group for Machine Learning which has the libraries used in my solution. The below libraries helps in capturing the embeddings for the text. The embeddings are vectoral representation of text with their semantics.

Data Exploration

You may be using multiple libraries for different functions in your solution. Please create one group for each function and add the libraries to each group. e.g. I have created a group for the libraries used for Data Exploration in my solution. The data exploration helps in doing extensive analysis of different data types and in assisting to understand the patterns. Pandas is used in our solution for data manipulation and analysis.

Challenge Statement 1 The Pandemic has impacted education - classes have moved online, students have been isolated on screens and coping with this change. Despite the challenges, the digital school has the potential to transform education. How can we empower students and teachers in this new digital school paradigm? In this challenge, we are inviting AI-powered solutions for the digital school of tomorrow Current State According to UNESCO, by the end of March 2020 over 1.5 billion pupils or 87 per cent of the world’s student population across 165 countries had been affected by school closures caused by COVID-19.1 In Australia, K-12 schools have experienced interruptions in every state and territory, although the extent and period of closures have varied significantly across jurisdictions. In early May, only 3 percent of children in Victorian government schools were in attendance, whereas the Northern Territory had returned to normal levels of 79 per cent. As school moves online, students, teachers and parents are faced with numerous challenges: • reduced one-to-one engagement with teachers • difficulty in ascertaining engagement levels of students • restricted ability to monitor individual student progress • increased level of oversight required from parents and carers (particularly for younger children) • increased social isolation and reduced ability to support student wellbeing • interruption to learning support for those children with additional needs • differential levels of access to technology, including internet and devices, to support learning. Solution Overview 1. Value Proposition IBUDDY is a virtual study buddy to make online learning more engaging, enjoyable and effective for kids - Utilise AI technology to monitor the attention level of children during class and provide timely reminder - Monitor student’s interest and engagement - Provide virtual companion and a sense of social interaction 2. Competitive Landscape This is grounded in evidence that getting students DOING within the learning experience is a factor in student success (Kilgo, Ezell Sheets, & Pascarella, 2015). However, there is no existing tools or program to support both students and teachers in the online learning process. Even though Zoom and Microsoft Team have provided some interactive tools like Breakout rooms, Polls and Whiteboard sharing, these tools show minimal impacts on young students, the one who suffer most with digital learning. Considering that online learning will still be a potential learning method and environment after the pandemic, IBuddy expects to provide long lasting values to both learners and teachers. The program also poses a great first-mover advantage Kilgo, C. A., Ezell Sheets, J. K., & Pascarella, E. T. (2015). The link between high-impact practices and student learning: some longitudinal evidence. Higher Education, 69(4), 509-525. doi:10.1007/s10734-014-9788-z UNESCO, UNESCO rallies international organizations, civ

Eye-contact-cnn

Zoom-interaction

Trending Discussions on Education

    Add commas every digits in numbers of kable()
    Canceling a Future vs stopping a Thread
    How do you plot smooth components of different GAMs in same panel?
    Coefficient plot - Increase gap between rows and alternative background colors in rows
    MySQL SQL Performance need some improvement
    Grabbing certain data from one object to another object
    Manually construct factor from integer vector
    react-native-render-html: "You seem to update the X prop of the Y component in short periods of time..."
    Reproduce a complex table with double headesrs
    Why Effects package in Julia is returning an error following the output of MixedModels?

QUESTION

Add commas every digits in numbers of kable()

Asked 2022-Mar-21 at 16:36

I have the dataframe below and I create a kable out of this. How could I add commas between numbers every 3 digits?

1Descs<-structure(list(Mean = c(NaN, 943330388, NaN, NaN, NaN, 543234645, 
245831420, NaN, 27301292, 160818771), Median = c(NaN, 943330388, 
3NaN, NaN, NaN, 543234645, 45831420, NaN, 27301292, 160818771), 
4    SD = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
5    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), MAD = c(NA, 
6    0, NA, NA, NA, 0, 0, NA, 0, 0), MIN = c(NA, 943330388, NA, 
7    NA, NA, 543234645, 45831420, NA, 27301292, 160818771), MAX = c(NA, 
8    943330388, NA, NA, NA, 543234645, 45831420, NA, 27301292, 
9    160818771), VAR = c(NA_real_, NA_real_, NA_real_, NA_real_, 
10    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
11    ), RANGE = structure(c(NA, 943330388, NA, NA, NA, 543234645, 
12    45831420, NA, 27301292, 160818771, NA, 943330388, NA, NA, 
13    NA, 543234645, 45831420, NA, 27301292, 160818771), .Dim = c(10L, 
14    2L)), QUANTILES = structure(c(NA, 943330388, NA, NA, NA, 
15    543234645, 45831420, NA, 27301292, 160818771, NA, 943330388, 
16    NA, NA, NA, 543234645, 45831420, NA, 27301292, 160818771), .Dim = c(10L, 
17    2L), .Dimnames = list(NULL, c("25%", "75%")))), row.names = c("Comedy", 
18"Education", "Entertainment", "Film & Animation", "Gaming", "Howto & Style", 
19"Music", "People & Blogs", "Science & Technology", "Sports"), class = "data.frame")
20
21library(kableExtra)
22
23kable(Descs) %>%
24    kable_styling(
25      font_size = 15,
26      bootstrap_options = c("striped", "hover", "condensed")
27    ) 
28

ANSWER

Answered 2022-Mar-21 at 16:36

You could use the kable format argument, this avoids mucking around with the data prior to putting into the table.

And if you want to clear up the NAs and NaNs you could add in this line of code: options(knitr.kable.NA = '')

1Descs<-structure(list(Mean = c(NaN, 943330388, NaN, NaN, NaN, 543234645, 
245831420, NaN, 27301292, 160818771), Median = c(NaN, 943330388, 
3NaN, NaN, NaN, 543234645, 45831420, NaN, 27301292, 160818771), 
4    SD = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
5    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), MAD = c(NA, 
6    0, NA, NA, NA, 0, 0, NA, 0, 0), MIN = c(NA, 943330388, NA, 
7    NA, NA, 543234645, 45831420, NA, 27301292, 160818771), MAX = c(NA, 
8    943330388, NA, NA, NA, 543234645, 45831420, NA, 27301292, 
9    160818771), VAR = c(NA_real_, NA_real_, NA_real_, NA_real_, 
10    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
11    ), RANGE = structure(c(NA, 943330388, NA, NA, NA, 543234645, 
12    45831420, NA, 27301292, 160818771, NA, 943330388, NA, NA, 
13    NA, 543234645, 45831420, NA, 27301292, 160818771), .Dim = c(10L, 
14    2L)), QUANTILES = structure(c(NA, 943330388, NA, NA, NA, 
15    543234645, 45831420, NA, 27301292, 160818771, NA, 943330388, 
16    NA, NA, NA, 543234645, 45831420, NA, 27301292, 160818771), .Dim = c(10L, 
17    2L), .Dimnames = list(NULL, c("25%", "75%")))), row.names = c("Comedy", 
18"Education", "Entertainment", "Film & Animation", "Gaming", "Howto & Style", 
19"Music", "People & Blogs", "Science & Technology", "Sports"), class = "data.frame")
20
21library(kableExtra)
22
23kable(Descs) %>%
24    kable_styling(
25      font_size = 15,
26      bootstrap_options = c("striped", "hover", "condensed")
27    ) 
28library(kableExtra)
29
30kable(Descs,
31      format.args = list(big.mark = ",")) %>%
32  kable_styling(
33    font_size = 15,
34    bootstrap_options = c("striped", "hover", "condensed")
35  ) 
36
37

enter image description here

Source https://stackoverflow.com/questions/71560787