ANN-decompiler
django-ai
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| ANN-decompiler | django-ai | |
|---|---|---|
| 6 | 2 | |
| 20 | 79 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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ANN-decompiler
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ChatGPT refuses to create a poem admiring Donald Trump but creates a poem and admires Joe Biden. ChatGPT is built in with political biases.
I can understand to why they would say that, as to what they refer as "woke" has massively invaded everything, but you are probably right that it was not done on purpose. Its not that easy to filter things like that out, especially not if humans have to do that manually. Also a friendly reminder that this is not real artificial intelligence, there is a good resource here https://github.com/Shamar/ANN-decompiler that explains this a bit better to why its mostly a magic trick, we have done models like that on paper in the 70's, not as large as those but its not exactly a new trick.
- “AI” Demystified: A Decompiler
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“AI” demystified: a decompiler for “artificial neural networks”
> Does this somehow smuggle the training dataset back into the VM?
Turns out you were right about this: http://www.tesio.it/2021/09/01/a_decompiler_for_artificial_n...
Obviously I was not aware of this, so the whole decompilation process was a waste of computation time, but it doesn't prove nor disprove anything about the "model"'s relation with the source dataset.
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[R] "AI" demystified: a decompiler
But I would be very happy to learn from you how to compute the whole source dataset from the output produced by compile.py without considering the "model".
django-ai
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How to effectively incorporate ML in django?
You should check https://github.com/math-a3k/django-ai and https://github.com/math-a3k/covid-ht as an integrated way of doing this
What are some alternatives?
pycm - Multi-class confusion matrix library in Python
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
EvalAI - :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
intelligent-trading-bot - Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
Free-Copilot - Get Github Copilot for free [GET https://api.github.com/repos/Limitly/Free-Copilot: 403 - Repository access blocked]