How to Create Animated Graphs in Python
Short tutorial on how to create animated graphs, which also works in #jupyter notebooks.
Link: https://towardsdatascience.com/how-to-create-animated-graphs-in-python-bb619cc2dec1
Youtube link with #visualization: https://youtu.be/7xrvuSDLHiY|
#novice #beginner
Short tutorial on how to create animated graphs, which also works in #jupyter notebooks.
Link: https://towardsdatascience.com/how-to-create-animated-graphs-in-python-bb619cc2dec1
Youtube link with #visualization: https://youtu.be/7xrvuSDLHiY|
#novice #beginner
Medium
How to Create Animated Graphs in Python
Matplotlib and Seaborn are some nice libraries in Python to create great looking plots. But these plots are all static and itβs hard toβ¦
ππNew Release - #Matplotlib 3.0.0. Supports Python 3. Highlights include:
GUI backend is selected at run-time based on what toolkits are installed;
New cyclic color map *twilight*;
Improvements to automatic layout of titles, ticks & GridSpec.
mail thread: https://mail.python.org/pipermail/matplotlib-announce/2018-September/000027.html
official site: https://matplotlib.org/users/whats_new.html
installation:
#visualization #dataviz
GUI backend is selected at run-time based on what toolkits are installed;
New cyclic color map *twilight*;
Improvements to automatic layout of titles, ticks & GridSpec.
mail thread: https://mail.python.org/pipermail/matplotlib-announce/2018-September/000027.html
official site: https://matplotlib.org/users/whats_new.html
installation:
pip install -U matplotlib
#visualization #dataviz
ββNeural network 3D visualization framework. Very nice in-depth visualizations.
Now you can actually see how the layers look.
Github: https://github.com/tensorspace-team/tensorspace
LiveDemo (!): https://tensorspace.org/html/playground/vgg16.html
#visualization #nn
Now you can actually see how the layers look.
Github: https://github.com/tensorspace-team/tensorspace
LiveDemo (!): https://tensorspace.org/html/playground/vgg16.html
#visualization #nn
All the statistical distributions and how they relate to each other!
Source: http://www.math.wm.edu/~leemis/2008amstat.pdf
#distributions #visualization #cheatsheet #statistics
Source: http://www.math.wm.edu/~leemis/2008amstat.pdf
#distributions #visualization #cheatsheet #statistics
Dynamic relationship visualization project
Two kill two birds with one stone, we should also share this #visualization tool.
http://distributome.org/tools.html
#statistics #distributions
Two kill two birds with one stone, we should also share this #visualization tool.
http://distributome.org/tools.html
#statistics #distributions
www.distributome.org
Distributome Tools Carousel
Probability and Statistics Distributions Resource - Distributome
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VIEW IN TELEGRAM
California wildfire #visualization
How weather conditions during California's fire season have evolved over time.
How weather conditions during California's fire season have evolved over time.
ββDimensionality reduction for visualizing single-cell data using UMAP
UMAP is an t-SNE replacement for #visualization.
UMAP is being increasingly accepted as a powerful tool for visualizing single cell datasets. This paper compares UMAP to #TSNE
While UMAP is unquestionably better than default t-SNE in preserving global structure, it's worth mentioning that (very recently) it was shown that this limitation of t-SNE appears to be addressable with better parameters/initialization.
Article link: https://www.nature.com/articles/nbt.4314
UMAP is an t-SNE replacement for #visualization.
UMAP is being increasingly accepted as a powerful tool for visualizing single cell datasets. This paper compares UMAP to #TSNE
While UMAP is unquestionably better than default t-SNE in preserving global structure, it's worth mentioning that (very recently) it was shown that this limitation of t-SNE appears to be addressable with better parameters/initialization.
Article link: https://www.nature.com/articles/nbt.4314
ββIntuitive Visualization of Outlier Detection Methods
Mostly with Python Outlier Detection.
Link: https://www.kdnuggets.com/2019/02/outlier-detection-methods-cheat-sheet.html
#outliers #dataviz #visualization
Mostly with Python Outlier Detection.
Link: https://www.kdnuggets.com/2019/02/outlier-detection-methods-cheat-sheet.html
#outliers #dataviz #visualization
ββExploring Neural Networks with Activation Atlases
Amazing interactive article on feature visualizations, letting us see through the eyes of the neural network. The hidden layers of neural networks are quite fun to inspect.
Interactive website: https://distill.pub/2019/activation-atlas/
#CV #DL #visualization
Amazing interactive article on feature visualizations, letting us see through the eyes of the neural network. The hidden layers of neural networks are quite fun to inspect.
Interactive website: https://distill.pub/2019/activation-atlas/
#CV #DL #visualization
ββModel for tweaking graph visualization layout parameters
New #MachineLearning model builds a WYSIWYG interface to intuitively produce a layout you want!
Demo: http://kwonoh.net/dgl
Paper: http://arxiv.org/abs/1904.12225
#Visualization #ML
New #MachineLearning model builds a WYSIWYG interface to intuitively produce a layout you want!
Demo: http://kwonoh.net/dgl
Paper: http://arxiv.org/abs/1904.12225
#Visualization #ML
ββHiPlot: High-dimensional interactive plots made easy
Interactive parameters' performance #visualization tool. This new Facebook AI's release enables researchers to more easily evaluate the influence of their hyperparameters, such as learning rate, regularizations, and architecture.
Link: https://ai.facebook.com/blog/hiplot-high-dimensional-interactive-plots-made-easy
Github: https://github.com/facebookresearch/hiplot
Demo: https://facebookresearch.github.io/hiplot/_static/demo/demo_basic_usage.html
Pip:
#hyperopt #facebook #opensource
Interactive parameters' performance #visualization tool. This new Facebook AI's release enables researchers to more easily evaluate the influence of their hyperparameters, such as learning rate, regularizations, and architecture.
Link: https://ai.facebook.com/blog/hiplot-high-dimensional-interactive-plots-made-easy
Github: https://github.com/facebookresearch/hiplot
Demo: https://facebookresearch.github.io/hiplot/_static/demo/demo_basic_usage.html
Pip:
pip install hiplot
#hyperopt #facebook #opensource
ββCounting Happiness and Where it Comes From
Researches asked 10 000 Mechanical Turk participants to name 10 things which are making them happy, resulting in creation of HappyDB.
And since that DB is open, Nathan Yau analyzed and vizualized this database in the perspective of subjects and actions, producing intersting visualization.
Hope that daily reading @opendatascience makes you at least content, if not happy.
Happines reason visualization link: https://flowingdata.com/2021/07/29/counting-happiness
HappyDB link: https://megagon.ai/projects/happydb-a-happiness-database-of-100000-happy-moments/
#dataset #emotions #visualization
Researches asked 10 000 Mechanical Turk participants to name 10 things which are making them happy, resulting in creation of HappyDB.
And since that DB is open, Nathan Yau analyzed and vizualized this database in the perspective of subjects and actions, producing intersting visualization.
Hope that daily reading @opendatascience makes you at least content, if not happy.
Happines reason visualization link: https://flowingdata.com/2021/07/29/counting-happiness
HappyDB link: https://megagon.ai/projects/happydb-a-happiness-database-of-100000-happy-moments/
#dataset #emotions #visualization
Interesting idea for using GitHub panes for data #visualization
Source: https://twitter.com/levelsio/status/1443133071230791680
Live: https://nomadlist.com/open
Source: https://twitter.com/levelsio/status/1443133071230791680
Live: https://nomadlist.com/open
Experimenting with CLIP+VQGAN to Create AI Generated Art
Tips and tricks on prompts to #vqclip. TLDR:
* Adding
* Using the pipe to split a prompt into separate prompts that are steered towards independently may be counterproductive.
Article: https://blog.roboflow.com/ai-generated-art/
Colab Notebook: https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT
#visualization #gan #generation #generatinveart #vqgan #clip
Tips and tricks on prompts to #vqclip. TLDR:
* Adding
rendered in unreal engine
, trending on artstation
, top of /r/art
improves image quality significally.* Using the pipe to split a prompt into separate prompts that are steered towards independently may be counterproductive.
Article: https://blog.roboflow.com/ai-generated-art/
Colab Notebook: https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT
#visualization #gan #generation #generatinveart #vqgan #clip
π¦ Hi!
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
GitHub
ultimate_posts/where_to_start at master Β· open-data-science/ultimate_posts
Ultimate posts for opendatascience telegram channel - open-data-science/ultimate_posts
Data Science by ODS.ai π¦
Experimenting with CLIP+VQGAN to Create AI Generated Art Tips and tricks on prompts to #vqclip. TLDR: * Adding rendered in unreal engine, trending on artstation, top of /r/art improves image quality significally. * Using the pipe to split a prompt intoβ¦
Some stats to get the perspective of the development of #dalle
Β«Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect, may mint someday. Curation is *1* step of AI art. I used to finish physicals in less time.Β»
Source: https://twitter.com/clairesilver12/status/1550709299797577729
#visualization #gan #generation #generatinveart #aiart #artgentips
Β«Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect, may mint someday. Curation is *1* step of AI art. I used to finish physicals in less time.Β»
Source: https://twitter.com/clairesilver12/status/1550709299797577729
#visualization #gan #generation #generatinveart #aiart #artgentips
Data Science by ODS.ai π¦
Some stats to get the perspective of the development of #dalle Β«Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect,β¦
Tips & Tricks on Image Generation
Generating images with AI tools is a skill, which can be improved and enhanced. So here is couple of articles, covering tips & tricks on how to generate better images with #midjourney. Most interesting one is #huggingface prompt generator, which uses #NLP model to generate sample prompts.
As an example, we tried to reproduce and improve our group avatar, following ideas in the articles. Prompt for an illustration to this post was generated with query
Midjourney Prompt Generator: https://huggingface.co/spaces/doevent/prompt-generator
List of Midjourney prompts: https://www.followchain.org/midjourney-prompts/
An advanced guide to writing prompts for Midjourney ( text-to-image): https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6
#visualization #gan #generation #generatinveart #aiart #artgentips
Generating images with AI tools is a skill, which can be improved and enhanced. So here is couple of articles, covering tips & tricks on how to generate better images with #midjourney. Most interesting one is #huggingface prompt generator, which uses #NLP model to generate sample prompts.
As an example, we tried to reproduce and improve our group avatar, following ideas in the articles. Prompt for an illustration to this post was generated with query
ferrofluids in form of a brain, beautiful connections chaos, swirling black network --ar 3:4 --iw 9 --q 2 --s 1250
Midjourney Prompt Generator: https://huggingface.co/spaces/doevent/prompt-generator
List of Midjourney prompts: https://www.followchain.org/midjourney-prompts/
An advanced guide to writing prompts for Midjourney ( text-to-image): https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6
#visualization #gan #generation #generatinveart #aiart #artgentips