carlacodes
Machine Learning Researcher. Previously at: O'Keefe Lab, SWC, Bizley Lab, UCL Ear Institute
UCLLondon, United Kingdom
carlacodes's Stars
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
shap/shap
A game theoretic approach to explain the output of any machine learning model.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
intitni/CopilotForXcode
The first GitHub Copilot, Codeium and ChatGPT Xcode Source Editor Extension
airbnb/knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
duerrsimon/bioicons
A library of free open source icons for science illustrations in biology and chemistry
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
vinivendra/Gryphon
The Swift to Kotlin translator.
fjwillemsen/NativeOverleaf
Next-level academia! Repository for the Native Overleaf project, attempting to integrate Overleaf with native OS features for macOS, Linux and Windows.
KordingLab/Neural_Decoding
A python package that includes many methods for decoding neural activity
easystats/insight
:crystal_ball: Easy access to model information for various model objects
webermarcolivier/statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
studoverse/Kotlift
Kotlift is the first source-to-source language transpiler from Kotlin to Swift
tidymodels/yardstick
Tidy methods for measuring model performance
aaren/wavelets
Python implementation of the wavelet analysis found in Torrence and Compo (1998)
ct6502/wavelets
Torrence & Compo Wavelet Analysis Software
ejolly/pymer4
All the convenience of lme4 in python
FirebaseExtended/firebase-video-samples
This repository contains sample code for some of the videos on the Firebase YouTube channel.
m-beau/NeuroPyxels
NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a pythonist who really did not want to transition to MATLAB to work with Neuropixels: it features a suite of core utility functions for loading, processing and plotting Neuropixels data.
TransylvanianInstituteOfNeuroscience/Superlets
MouseLand/pykilosort
WIP: Python port of Kilosort2
flatironinstitute/mountainsort5
MountainSort spike sorting algorithm, version 5
UBC-MDS/PyPunisher
A Python package that performs stepwise forward and backward feature selection
aksholokhov/pysr3
SciKit-Learn compatible library for training mixed-effects models.
endolith/wavelets
Python implementation of the wavelet analysis found in Torrence and Compo (1998)
duducosmos/kPyWavelet
Continuous wavelet transform module for Python. Includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. This module references to the numpy, scipy and pylab Python packages.
seankmartin/NeuroChaT
Analysis toolset with GUI for Neuroscience
transatlantic-comppsych/data-reliability-stability
Calculations for reliability and stability over three data sets
amr-farahat/Epileptogenesis
Diagnosing Epileptogenesis with Deep Anomaly Detection
JulesLebert/spikesorting_scripts
Scripts to run spikesorting pipeline with spike interface