Eugene Ilyushin's repositories
milewski-ctfp-pdf
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
MoneyPrinter
Automate Creation of YouTube Shorts using MoviePy.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021 and 2022)
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
awesome-mlops
A curated list of references for MLOps
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
backdoor-toolbox
A compact toolbox for backdoor attacks and defenses.
fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
free-ai-resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
LocalAI
:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others
practical-statistics-for-data-scientists
Code repository for O'Reilly book
pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
Robustness-Verification-for-Transformers
[ICLR 2020] Code for paper "Robustness Verification for Transformers"
Russian-Phd-LaTeX-Dissertation-Template
LaTeX-template for russian Phd thesis
torch-uncertainty
Uncertainty for deep learning models in PyTorch :seedling:
trustworthyai
Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial machine learning, federated learning, and more.
www-project-ai-security-and-privacy-guide
OWASP Foundation Web Respository