pyc2pa
parler-py-api
Our great sponsors
| pyc2pa | parler-py-api | |
|---|---|---|
| 2 | - | |
| 31 | 50 | |
| - | - | |
| 1.8 | 1.4 | |
| almost 2 years ago | almost 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | - |
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.
pyc2pa
-
PyC2PA (our Python Implementation of Content Authenticity Initiative based on C2PA Spec
pyc2pa GitHub: https://github.com/numbersprotocol/pyc2pa
- Implementation of Content Auth Initiative Following C2PA Specs
parler-py-api
We haven't tracked posts mentioning parler-py-api yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
lpub3d - An LDraw™ editor for LEGO® style digital building instructions.
acme - A library of reinforcement learning components and agents
DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated
lingvo - Lingvo
connaisseur - An admission controller that integrates Container Image Signature Verification into a Kubernetes cluster
mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
scancode-toolkit - :mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!
rwa - Machine Learning on Sequential Data Using a Recurrent Weighted Average
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.