cape-dataframes
orange
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cape-dataframes | orange | |
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4 | 27 | |
174 | 4,604 | |
0.0% | 1.7% | |
0.0 | 9.6 | |
9 months ago | 9 days ago | |
Python | Python | |
Apache License 2.0 |
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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.
cape-dataframes
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Show HN: Cape API – Keep your sensitive data private while using GPT-4
- How can we mitigate hallucinations and bias so that we have higher trust in AI generated text?
The features of the Cape API are designed to help solve these problems for developers, and we have a number of early customers using the API in production already.
To get started, checkout our docs: https://docs.capeprivacy.com/
View the API reference: https://api.capeprivacy.com/redoc
Join the discussion on our Discord: https://discord.gg/nQW7YxUYjh
And of course try the CapeChat playground at https://chat.capeprivacy.com/
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Secure Sentiment Analysis with Enclaves
There are three essential components that enable this: cape encrypt, cape deploy, and cape run. The command cape encrypt encrypts inputs that can be sent into the Cape enclave for processing, cape deploy performs all needed actions for deploying a function into the enclave, and finally cape run invokes the deployed function with an input that was previously encrypted with cape encrypt. Learn more on the Cape docs.
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Anonymize your Data with a single line!
Well, many of the features in this project are simply wrappers around other libraries like this one. Therefore, the value proposition of this project would either have to be the automation aspect or the idea that you can shield the user from the details of how the implemented techniques work. I think both approaches are risky in this setting.
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Data Anonymization Libraries
I was wondering what other helpful and easy of use libraries are there for data anonymization like faker and cape-python ?
orange
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Hierarchical Clustering
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
- Orange Data Mining
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The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
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Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
What are some alternatives?
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
glue - Linked Data Visualizations Across Multiple Files
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
koalas - Koalas: pandas API on Apache Spark
RDKit - The official sources for the RDKit library
exodus - Platform to audit trackers used by Android application
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
private-ai - Repo for Udacity's Secure & Private AI course
NumPy - The fundamental package for scientific computing with Python.