jungheejung

jungheejung's Stars

• rlabbe/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.

  Language:Jupyter Notebook17.2k4663304.3k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.8k1432.3k2.5k

• all-contributors/all-contributors

  ✨ Recognize all contributors, not just the ones who push code ✨

  Language:HTML7.8k802611.7k

• rstudio/bookdown

  Authoring Books and Technical Documents with R Markdown

  Language:JavaScript3.8k1251.2k1.3k

• thomasp85/patchwork

  The Composer of ggplots

  Language:R2.5k45363162

• google-deepmind/mctx

  Monte Carlo tree search in JAX

  Language:Python2.4k2852195

• tysam-code/hlb-CIFAR10

  Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  Language:Python1.2k19375

• Mikata-Project/ggthemr

  Themes for ggplot2.

  Language:R8993742108

• gkaramanis/tidytuesday

  Code and plots for submissions to the #tidytuesday challenge

  Language:R712532115

• facebookresearch/balance

  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

  Language:Python69193244

• plotly/dash-bio

  Open-source bioinformatics components for Dash

  Language:Python53745257193

• thomasp85/scico

  Palettes for R based on the Scientific Colour-Maps

  Language:R44081424

• netneurolab/neuromaps

  A toolbox for comparing brain maps

  Language:Python25678757

• cvnlab/GLMsingle

  A toolbox for accurate single-trial estimates in fMRI time-series data

  Language:MATLAB10557646

• gallantlab/himalaya

  Multiple-target linear models - CPU/GPU

  Language:Python88202714

• twitter-research/feature-propagation

  Language:Python790414

• aquaULB/solving_pde_mooc

  Language:Python664740

• m-clark/visibly

  👓 Functions related to R visualizations

  Language:R63294

• snastase/narratives

  Narratives: fMRI data for evaluating models of naturalistic language comprehension

  Language:Python60114

• markkho/msdm

  Models of Sequential Decision-Making

  Language:Python445326

• tsumers/bert-brains

  Language:Jupyter Notebook28434

• SumnerLab/TalkMoves

  The TalkMoves Dataset: K-12 mathematics lesson transcripts annotated for teacher and student discursive moves

  Language:Jupyter Notebook25115

• orion-search/orion

  A data collection, enrichment and analysis system used in Orion search.

  Language:Python244903

• smin95/smplot2

  ✨ smplot2 - An R package for plotting standalone and composite figures

  Language:R23265

• dartmouth-pbs/psyc161

  An Introduction to Programming for Psychologists & Neuroscientists Course at Dartmouth PBS

  Language:Jupyter Notebook219222

• aroraakshit/csci5922_neuralNetworks_deepLearning

  Assignments for CSCI 5922 - Neural Networks and Deep Learning (Fall 2017). Instructor: Dr. Michael C Mozer (Mike) at CU Boulder

  Language:Jupyter Notebook3203

• canlab/cognitive_regulation_physiology

  Data and scripts for Matthewson, Woo, & Wager (in prep)

  Language:HTML3902

• yuliytsank/IdealObservers

  Contains code and sample stimulus set for running a standard Bayesian Ideal Observer, a Region of Interest Ideal Observer, and a Foveated Ideal Observer.

  Language:MATLAB300

• lhayne/network-ablation-pytorch

  Network ablation in pytorch.

  Language:Python10

• tsmanning/bayesIdealObserverMoG

  Toolbox, figure, and analysis code for Bayesian ideal observer model based on a mixture of Gaussians prior.

  Language:MATLAB1