Useful Links
Models of Dynamical Systems
Free Books for Python or R
- https://wesmckinney.com/book/
- https://r4ds.hadley.nz/
- https://jakevdp.github.io/PythonDataScienceHandbook/
- https://ggplot2-book.org/
- https://crumplab.com/Books.html
- https://github.com/christophergandrud/Rep-Res-Book
- https://merely-useful.tech/py-rse/
- https://merely-useful.tech/r-rse/
Data Science Courses
Open Science
Starting points for learning about accessibility
Open Science Pre-publication Sites:
Interesting links
Neuroscience Information
- Neurodata Without Borders
- Brain Imaging Data Structure (BIDS)
- Carpentries: Working with MRI Data in Python
- Carpentries: Functional Neuroimaging Analysis in Python
- International Conference on Neuroinformatics (ICNF)
- NeuroStars
- NeuroHack Academy
- NeuroMatch Academy
- Concepts in Cognitive: Ontological/Taxonomy
DataCamp Cheasheets:
https://www.datacamp.com/tutorial/coding-best-practices-and-guidelines
https://www.datacamp.com/cheatSheet/bash-and-zsh-shell-terminal-basics-cheat-sheet
https://www.datacamp.com/cheatSheet/quarto-cheat-sheet-previously-known-as-r-markdown
https://www.datacamp.com/cheatSheet/the-generative-ai-tools-landscape
https://www.datacamp.com/cheatSheet/reshaping-data-with-pandas-in-python.
https://www.datacamp.com/cheatSheet/text-data-in-python-cheat-sheet
https://www.datacamp.com/cheatSheet/working-with-dates-and-times-in-python-cheat-sheet
https://www.datacamp.com/cheatSheet/python-seaborn-cheat-sheet
https://www.datacamp.com/cheatSheet/scipy-cheat-sheet-linear-algebra-in-python
https://www.datacamp.com/cheatSheet/pandas-cheat-sheet-data-wrangling-in-python
https://www.datacamp.com/cheatSheet/jupyter-notebook-cheat-sheet
https://www.datacamp.com/cheatSheet/matplotlib-cheat-sheet-plotting-in-python
https://www.datacamp.com/cheatSheet/getting-started-with-python-cheat-sheet
https://www.datacamp.com/tutorial/a-beginners-guide-to-chatgpt-api
https://www.datacamp.com/tutorial/r-markdown-tutorial
https://www.datacamp.com/tutorial/what-is-a-confusion-matrix-in-machine-learning
https://www.datacamp.com/tutorial/what-is-hugging-face
https://www.datacamp.com/tutorial/coding-best-practices-and-guidelines
https://www.datacamp.com/tutorial/introduction-to-data-pipelines-for-data-professionals
https://www.datacamp.com/tutorial/a-data-scientists-guide-to-signal-processing
https://www.datacamp.com/tutorial/introduction-to-convolutional-neural-networks-cnns
https://www.datacamp.com/tutorial/pytorch-vs-tensorflow-vs-keras
https://www.datacamp.com/tutorial/the-cross-entropy-loss-function-in-machine-learning
https://viso.ai/deep-learning/pytorchvideo-video-understanding/
https://www.simplilearn.com/best-ai-tools-for-video-editing-article
AmadeusGPT: a natural language interface for interactive animal behavioral analysis https://neurips.cc/media/PosterPDFs/NeurIPS%202023/72610.png?t=1701780014.8377924
https://pytorch.org/audio/stable/index.html
https://pytorch.org/vision/stable/index.html
State of the Art https://paperswithcode.com/sota
https://paperswithcode.com/libraries
https://paperswithcode.com/methods
https://github.com/huggingface/transformers
https://huggingface.co/docs/transformers/index
Cran-R Task Views
R Task Views: Tracking Data https://cran.r-project.org/web/views/Tracking.html Carpentries https://datacarpentry.org/rr-version-control/02-git-in-github/index.html
Ten Simple Rules Collection
PLOS Computational Biology: filter “undergraduate” https://journals.plos.org/ploscompbiol/search?filterJournals=PLoSCompBiol&filterSubjects=Undergraduates&q=
PLOS Computational Biology: filter “graduate”
Historical Research
Computational Historical Thinking: With Applications in R Lincoln A. Mullen https://dh-r.lincolnmullen.com/