homemade-machine-learning
HackThisAI
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| homemade-machine-learning | HackThisAI | |
|---|---|---|
| 7 | 6 | |
| 22,493 | 82 | |
| - | - | |
| 3.8 | 6.8 | |
| 9 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 only |
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homemade-machine-learning
- Homemade Machine Learning
-
✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
4️⃣ Homemade Machine Learning
- Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
- Homemade Machine Learning: Python examples of popular machine learning algorithms
- Homemade Machine Learning: Python examples of popular machine learning algorithms with interactive Jupyter demos
HackThisAI
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Is it possible to combine Data Science with hacking / IT-security?
1) Use data science for infosec. Plenty of infused products are data science under the hood and most big companies have product data scientists. 2) Bring security to data science. This is a younger field, but the topic of my side project: https://github.com/JosephTLucas/HackThisAI
- [P] HackThisAI: Adversarial Machine Learning CTF Challenges
- CTF challenge: HackThisAI
- Adversarial Machine Learning CTF challenges
- CTF Challenges for Adversarial Machine Learning
- Show HN: CTF Challenges for Adversarial Machine Learning
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
cybersecurity-resources - Resources for learning about cybersecurity and CTFs
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
shap - A game theoretic approach to explain the output of any machine learning model.
rmi - A learned index structure
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
PythonRobotics - Python sample codes for robotics algorithms.
fastai - The fastai deep learning library
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
plexiglass - A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).