umap
plotly
umap | plotly | |
---|---|---|
10 | 65 | |
6,959 | 15,324 | |
- | 1.4% | |
8.3 | 9.4 | |
7 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
umap
-
[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
UMAP GitHub repository: https://github.com/lmcinnes/umap
-
UMAP clustering in Ruby
Uniform Manifold Approximation and Projection (UMAP) is a well-known dimensionality reduction method along with t-SNE.
-
Introducing the Semantic Graph
A number of excellent topic modeling libraries exist in Python today. BERTopic and Top2Vec are two of the most popular. Both use sentence-transformers to encode data into vectors, UMAP for dimensionality reduction and HDBSCAN to cluster nodes.
-
Using the 80:20 rule, what top 20% of your tools, statistical tests, activities, etc. do you use to generate 80% of your results?
As with anything, it depends on the problem. But T-SNE and UMAP are often good.
-
[D] In UMAP and PyNNDescent, the conversion of Cosine and Correlation measures to distance metric seems problematic
UMAP distances.py: umap/distances.py at master · lmcinnes/umap (github.com)
-
I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.
-
We Analyzed 425,909 Favicons
side note: instead of t-SNE consider UMAP - provides better results (and it's much faster) https://github.com/lmcinnes/umap
-
Finding correlating features in a large dataset.
Sounds like a job for UMAP https://github.com/lmcinnes/umap ?
-
The most perplexing bug I've ever seen
I am a fairly experienced python developer/researcher (about 10 years), and have found a bug that breaks all of my intuitions. I am messing with the [UMAP](https://github.com/lmcinnes/umap) repository and trying to add the option to disable some additional features. I've stripped everything from it but have a [quick test that will run my UMAP version and compare the outputs with what the original gave](https://github.com/Andrew-Draganov/probabilistic_dim_reduction/blob/master/umap/nndescent_umap_test.py). Managing my random seeds, same inputs, all that.
-
Question about numpy method I found in github project
I'm currently reading through a project on github, https://github.com/lmcinnes/umap, and in `umap/umap_.py` at line 2287, they have this:
plotly
- Yes, Python and Matplotlib can make pretty charts
-
Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
-
How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
-
For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
-
Other programing options?
Plotly documentation (https://plotly.com/python/)
-
Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
-
[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
-
Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
-
Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
minisom - :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Altair - Declarative statistical visualization library for Python
giotto-tda - A high-performance topological machine learning toolbox in Python
bokeh - Interactive Data Visualization in the browser, from Python
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
matplotlib - matplotlib: plotting with Python
Traccar - Traccar GPS Tracking System
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
folium - Python Data. Leaflet.js Maps.
Openstreetmap - The Rails application that powers OpenStreetMap
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]