Paulescu / adversarial-machine-learningLinks
Hands-on tutorial on adversarial examples š. With Streamlit app ā¤ļø.
ā31Updated 3 years ago
Alternatives and similar repositories for adversarial-machine-learning
Users that are interested in adversarial-machine-learning are comparing it to the libraries listed below
Sorting:
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applicationsā103Updated 2 years ago
- Test LLMs automatically with Giskard and CI/CDā31Updated last year
- An repository containing all the LLM notebooks with tutorial and projectsā131Updated this week
- Deep Learning Projects on TensorFlow and Kerasā20Updated last year
- ā110Updated 2 years ago
- MLFlow End to End Workshop at Chandigarh Universityā11Updated 2 years ago
- ā14Updated 2 years ago
- A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!ā11Updated last year
- Join 15k builders to the Real-World ML Newsletter ā¬ļøā¬ļøā¬ļøā48Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.ā40Updated 9 months ago
- Datastructure for data scienceā23Updated last year
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several fā¦ā96Updated last year
- ā22Updated last year
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for Gā¦ā86Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.ā65Updated 9 months ago
- ā21Updated 2 years ago
- Table detection with Florence.ā15Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.ā92Updated 3 years ago
- Study the temporal performance degradation of machine learning models.ā16Updated last year
- LLM Engineering CrashCourseā101Updated last year
- ā18Updated 10 months ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.ā30Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlitā129Updated last year
- Course materials for introductory data scienceā62Updated 2 years ago
- Demo on how to use Prefect with Dockerā27Updated 3 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelinesā13Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API šā53Updated 3 years ago
- awesome-moviateā96Updated last year
- ā33Updated 2 years ago
- ā17Updated 3 years ago