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automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-docker

:whale: A curated list of Docker resources and projects

chatgpt_dan

ChatGPT DAN, Jailbreaks prompt

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

docker-word2vec

word2vec image for Docker - Tool for computing continuous distributed representations of words.

fsm2ml-diagrams

PlantUML diagrams for article: "A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications"

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lcodemaps

Literate Code Maps - diagramming methodology for understanding source code

mirceat.github.io

plant2ml-weekly

Weekly top AI and machine learning paper highlights.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021