hent-AI
emlearn
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hent-AI | emlearn | |
---|---|---|
11 | 5 | |
1,545 | 374 | |
- | 7.2% | |
0.0 | 9.2 | |
about 1 year ago | 20 days ago | |
Python | Python | |
MIT License | MIT License |
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.
hent-AI
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Candace unblurred with Ai Gigapixel.
This existed years ago; https://github.com/natethegreate/hent-AI
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New text-to-image network from Google beats DALL-E
1. DeepCreamPy draws over hentai sensor bars if you direct it where the bar is: https://github.com/gguilt/DeepCreamPy
2. hentAI automates the process: https://github.com/natethegreate/hent-AI
3. [NSFW] Should look at this person on Twitter: https://twitter.com/nate_of_hent_ai
4. [NSFW] PornHub released vintage porn videos upscaled to 4k with AI a while back. The called it the "Remastured Project": https://www.pornhub.com/art/remastured
5. [NSFW] This project shows the limit of AI-wthout-big-tech-or-corporate-support projects. This project creates female genitalia that don't exist in the real world. Project is "This Vagina Does Not Exist": https://thisvaginadoesnotexist.com/about.html
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Finally, a real project that works like Hollywood movie writers think software generally works! (BishopFox/unredacter at Github)
Allo w me to introduce: hent.ai
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How to remove mosaic censorship from photos?
Yes, if you're talking about anime pictures. There is DeepCreamPy. The original repo has been deleted from Github, but there's information on how to find it in this thread. There's also hent-AI which includes a more experimental method.
- [D] Drop your best open source Deep learning related Project
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DeepCreamPy- Decensoring Hentai with Deep Neural Networks
Nah, that award goes to this project (Hent-AI)- https://github.com/natethegreate/hent-AI
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Latest iOS beta blurs nude images for children using Messages app
If I recall correctly, hentAI is the spiritual successor to DeepCreamPy
- Ermerm
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Hello World!
use https://github.com/natethegreate/hent-AI to automatically detect censored parts
- 10 May 2021- Daily Chat Thread
emlearn
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EleutherAI announces it has become a non-profit
> My big gripe, and for obvious reasons, is that we need to step away from cloud-based inference, and it doesn't seem like anyone's working on that.
I think there are steps being taken in this direction (check out [1] and [2] for interesting lightweight transpile / ad-hoc training projects) but there is a lack of centralized community for these constrained problems.
[1] https://github.com/emlearn/emlearn
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Simple and embedded friendly C code for Machine Learning inference algorithms
Examples: Gaussian Mixture Models (GMM) for anomaly detection or clustering Mahalanobis distance (EllipticEnvelope) for anomaly detection Decision trees and tree ensembles (Random Forest, ExtraTrees) Feed-forward Neural Networks (Multilayer Perceptron, MLP) for classification Gaussian Naive Bayes for classification
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[D] Drop your best open source Deep learning related Project
https://github.com/emlearn/emlearn is a ML inference engine for microcontrollers and embedded systems, allowing to deploy models to any platform with a C99 compiler. Has also been used for network traffic analysis as a Linux kernel module, and embedded in Android apps.
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Regression with the C64
The C64 has 64 kB of RAM. That is more than many contemporary microcontrollers. Using something like https://github.com/emlearn/emlearn allows to generate portable C code of ML models for such targets. Should be able to classify digits (MNIST) no problem on such hardware. Assuming there is a workable C compiler available.
Disclosure: Maintainer of emlearn project.
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Ask HN: What are some tools / libraries you built yourself?
I built emlearn, a Machine Learning inference engine for microcontrollers and embedded systems. It allows converting traditional ML models to simple and portable C99, following best practices in embedded software (no dynamic allocations etc). https://github.com/emlearn/emlearn
What are some alternatives?
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
miceforest - Multiple Imputation with LightGBM in Python
dreamtime - Use artificial intelligence to create fake nudes.
cppflow - Run TensorFlow models in C++ without installation and without Bazel
stash - An organizer for your porn, written in Go. Documentation: https://docs.stashapp.cc
fselect - Find files with SQL-like queries
DeepCreamPy
pico-wake-word - MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
sklearn-project-template - Machine learning template for projects based on sklearn library.
dalle-mini - DALLĀ·E Mini - Generate images from a text prompt
experta - Expert Systems for Python