ai-exploits VS trip

Compare ai-exploits vs trip and see what are their differences.

ai-exploits

A collection of real world AI/ML exploits for responsibly disclosed vulnerabilities (by protectai)
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trip

Elegant middleware functions for your HTTP clients. (by philippta)
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ai-exploits trip
6 4
1,292 96
7.9% -
6.7 10.0
15 days ago over 1 year ago
Python Go
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

ai-exploits

Posts with mentions or reviews of ai-exploits. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

trip

Posts with mentions or reviews of trip. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

What are some alternatives?

When comparing ai-exploits and trip you can also consider the following projects:

memq - MemQ is an efficient, scalable cloud native PubSub system

screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

depthai-python - DepthAI Python Library

automq - AutoMQ is a cloud-native fork of Kafka by separating storage to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.

awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io

StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

incubator-xtable - Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.

torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

FLaNK-EveryTransitSystem - Every transit system

imgbeddings - Python package to generate image embeddings with CLIP without PyTorch/TensorFlow

CML_AMP-Text-to-Image-with-Stable-Diffusion - CML AMP Text-to-Image with Stable Diffusion

ai-exploits vs memq trip vs screenshot-to-code ai-exploits vs depthai-python trip vs automq ai-exploits vs awesome-public-real-time-datasets trip vs awesome-public-real-time-datasets ai-exploits vs StyleTTS2 trip vs incubator-xtable ai-exploits vs torchgeo trip vs FLaNK-EveryTransitSystem ai-exploits vs imgbeddings trip vs CML_AMP-Text-to-Image-with-Stable-Diffusion