imdb-trakt-sync
privacy
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| imdb-trakt-sync | privacy | |
|---|---|---|
| 2 | 2 | |
| 51 | 1,865 | |
| - | 0.6% | |
| 5.3 | 7.8 | |
| about 2 months ago | 7 days ago | |
| Shell | Python | |
| MIT License | Apache License 2.0 |
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imdb-trakt-sync
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Looking to sync my personal IMDB ratings with Jellyfin, so that I know which movies I have not yet watched/rated. Are there any plugins that can do this?
I ended up using josh/imdb-trakt-sync, and I opened an issue to have the README reviewed/updated
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Ansible Playbooks to Deploy Many Common Self Hosted Services
How would I go about adding a service here? I am mostly thinking about my own web applications, such as a node.js server with a react front end, for which I have a Dockerfile already. I am also using https://github.com/josh/imdb-trakt-sync and would love to setup urbit in docker. Would you be able to provide an example of how to setup one of these nothing specific, but more like a blueprint for adding services. I will take a look at how existing services are implemented (I see a lot of similarities in the tasks/main.yml files in the role folders) but wanted to know if there are any gotchas I should be aware of.
privacy
What are some alternatives?
docker-elk - The Elastic stack (ELK) powered by Docker and Compose.
differential-privacy - Google's differential privacy libraries.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
dp-xgboost
Paperwork - Paperwork - OpenSource note-taking & archiving alternative to Evernote, Microsoft OneNote & Google Keep
EnvisEdge - Deploy recommendation engines with Edge Computing
Docker-OSX - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
privacy - Ansible playbooks deploy many open source tools that allow you to self-host many common services.
Differential-Privacy-Guide - Differential Privacy Guide
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
tf2-published-models - Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.