# HackyHour Würzburg 42 - **When:** February 27<sup>th</sup>, 2020 at 5:00pm - **Where:** [Center for Computational and Theoretical Biology (CCTB)](https://www.google.de/maps/search/cctb/@49.7850979,9.9030254,12z) - **Info:** [HackyHour Website](http://hackyhour.github.io/Wuerzburg/) ## Topic Suggestions > Add your :+1: to the end of a line you are interested in - Say it challenge (hacker.org) [pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis), [LibROSA](https://librosa.github.io/librosa/) - Make the computer play computer games (Reinforcement Learning, [gym](https://gym.openai.com/), [OpenSpiel](https://github.com/deepmind/open_spiel)) &rarr; continue with cart pole challenge - Exploring language models: [exBERT](https://exbert.net), [talktotransformer](https://talktotransformer.com/), [AI Dungeon](http://www.aidungeon.io/) - Natural Language processing in Python with [NLTK](https://www.nltk.org/) - Practice Data Science Skills: [TidyTuesday](https://github.com/rfordatascience/tidytuesday) - [Git Exercises](https://gitexercises.fracz.com/) - Data Science GUI / AutoML: [PennAI](https://epistasislab.github.io/pennai/quickstart.html) - Dimensionality Reduction ([PCA](http://setosa.io/ev/principal-component-analysis/), [more PCA](https://benediktehinger.de/blog/science/scatterplots-regression-lines-and-the-first-principal-component/),[t-SNE](https://distill.pub/2016/misread-tsne/),[UMAP](https://pair-code.github.io/understanding-umap/)) - Data Visualization [data2viz](https://www.data-to-viz.com/) - revisit GANs [maybe with this tutorial](https://medium.com/ai-society/gans-from-scratch-1-a-deep-introduction-with-code-in-pytorch-and-tensorflow-cb03cdcdba0f) - [Voice Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning) - [Hacking Neural Networks](https://github.com/Kayzaks/HackingNeuralNetworks) (I am interested but cant be there this date, would be nice to move it to next hackyhour) - [Seq — a language for bioinformatics](https://github.com/seq-lang/seq) - [Convolutional Neural Networks](https://www.cs.ryerson.ca/~aharley/vis/conv/) - Adopt [n2n pizza bot](https://code.nerd2nerd.org/n2n/pizzabot) - React Native App development ## Participants - Markus :pizza: - ~~Franzi :pizza:~~ - Enrico :pizza: - ## Cross Links - [previous pad](https://hackmd.io/FeEXN14sQWuIHJ9W1LrPnQ) - [next pad](https://hackmd.io/K1AhJ1PrSW-lY75-hUxYxQ)