cape-js
cape-dataframes
| cape-js | cape-dataframes | |
|---|---|---|
| 4 | 4 | |
| 22 | 174 | |
| - | 0.0% | |
| 2.9 | 0.0 | |
| 11 months ago | 10 months ago | |
| TypeScript | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
cape-js
-
Confidential Optical Character Recognition Service With Cape
Once you have your access token, you can invoke the OCR service. Here is a code snippet showing you how to do it with cape-js.
-
Hide And Seek
A running example of this code can be seen here on github. This example is run using the Cape-JS and the function is deployed using Cape CLI.
-
Secure Sentiment Analysis with Enclaves
Cape provides a command line interface (CLI) and also a Python and JavaScript software development kits (SDKs) called pycape and cape-js that allow developers to deploy their apps and allow users to interact with them in a secure manner.
-
Using a Random Forest Model for Fraud Detection in Confidential Computing
In addition to the platform itself, Cape also provides a CLI that enables its users to easily encrypt their input data, and deploy and run serverless functions with easy commands: cape encrypt, cape deploy, and cape run. Additionally, Cape also provides two SDKs: pycape and cape-js, which allow for using cape within Python and JavaScript programs respectively.
cape-dataframes
-
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/
-
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.
-
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.
-
Data Anonymization Libraries
I was wondering what other helpful and easy of use libraries are there for data anonymization like faker and cape-python ?
What are some alternatives?
pycape - The Cape Privacy Python SDK
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
cli - Cape Privacy CLI
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
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
koalas - Koalas: pandas API on Apache Spark
hideandseek
exodus - Platform to audit trackers used by Android application
functions - Sample functions for Cape Privacy
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]
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
private-ai - Repo for Udacity's Secure & Private AI course