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A curation of awesome tools, documents and projects about LLM Security.
A curated list of awesome instruction tuning datasets, models, papers and repositories.
A curated list of awesome responsible machine learning resources.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Awesome-LLM: a curated list of Large Language Model
A repository of Language Model Vulnerabilities and Exposures (LVEs).
A collection of ergonomic split keyboards ⌨
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
A collection of useful macros for the Klipper 3D printer firmware
Apache DataFusion Ballista Distributed Query Engine
A collection of modern/faster/saner alternatives to common unix commands.
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Python code for training fair logistic regression classifiers.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Tutorial Sessions for SciPy Con 2019
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Attributing predictions made by the Inception network using the Integrated Gradients method
Valetudo RE - experimental vacuum software, cloud free
Self-driving smallscale truck with wireless charging - Master thesis @ NTNU 2019