robin
pandora
robin | pandora | |
---|---|---|
1 | 3 | |
169 | 237 | |
- | 2.1% | |
0.0 | 9.3 | |
almost 2 years ago | 5 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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.
robin
pandora
-
Pandora is an analysis framework to discover if a file is suspicious
It appears to hash the file locally, then look it up on a number of aggregators (or local scanner such as clamav), see: https://github.com/pandora-analysis/pandora/tree/main/pandor... for list.
You will need to be subscribed to those services that are not free and have API keys for each one.
- An analysis framework to discover if a file is suspicious with a simple UI
What are some alternatives?
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
dagda - a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
yaralyzer - Visually inspect and force decode YARA and regex matches found in both binary and text data. With Colors.
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
malware-ioc - This repository contains indicators of compromise (IOCs) of our various investigations.
open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
pydoxtools - Effortlessly extract information from unstructured data with this library, utilizing advanced AI techniques. Compose AI in customizable pipelines and diverse sources for your projects.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
MODNet-BGRemover - A deep learning approach to remove background & adding new background image
aruco-estimator - Automatic Scale Factor Estimation of 3D Reconstruction in COLMAP Utilizing Aruco Marker
DeepPoseKit - a toolkit for pose estimation using deep learning