Pinned Repositories
BibSON
Bibliographic Serial Object Notation
birdseye
Quick, convenient, expression-centric, graphical Python debugger using the AST
book-ai
Facilitate close reading or analyses from a constrained text source.
how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
nelpy
Neuroelectrophysiology object model and data analysis in Python.
ratpack
Pack of vector rats (Long Evans, mostly) for use in publications, illustrations, etc.
jagular
Out-of-core pre-processing of big-ish electrophysiology data
RemoteReplayHMMs
Identification of remote replay using hidden Markov models
example-analyses
Example analyses making extensive use of nelpy.
nelpy
Neuroelectrophysiology object model and data analysis in Python.
eackermann's Repositories
eackermann/ratpack
Pack of vector rats (Long Evans, mostly) for use in publications, illustrations, etc.
eackermann/nelpy
Neuroelectrophysiology object model and data analysis in Python.
eackermann/how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
eackermann/BibSON
Bibliographic Serial Object Notation
eackermann/birdseye
Quick, convenient, expression-centric, graphical Python debugger using the AST
eackermann/book-ai
Facilitate close reading or analyses from a constrained text source.
eackermann/CapacitiveSensor
Detect touch or proximity by capacitve sensing
eackermann/e-resx
Resources I enjoyed and would like to go back to, and some that I still need to read
eackermann/hc-3
Analysis on CRCNS.org hc-3 data.
eackermann/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
eackermann/Notebooks
First landing site for all my experimental Jupyter notebooks
eackermann/pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
eackermann/snarky
Snarky is a useless Python package that makes it easy to add a jk (just kidding!) keyword argument to any function.
eackermann/wiki
This is my wiki repo https://github.com/eackermann/wiki/wiki
eackermann/work