β¨ Please see the SIPLab organization rather than this account for our software. β¨
βοΈπ
Name: SIPLab
Type: Organization
Twitter: crozSciTech
Location: United States of America
βοΈπ
Approximate Posterior Matching for Logistic Regression (APM-LR). Project code for "Feedback Coding for Active Learning" (AISTATS 2021).
Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience
Code to produce the results in the paper "Convergence Speed of a Dynamical System for Sparse Recovery" in IEEE Trans. Signal Processing (2013) by Balavoine, Rozell and Romberg. Code by A. Balavoine.
This is code for the paper "Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics" (Mudrik, 2022)
Code to implement the simulation framework described in the manuscript "Cell Membrane Tracking in Living Brain Tissue using Differential Interference Contrast Microscopy" by Lee, Kolb, Forest and Rozell. Code by J. Lee.
Code to implement the algorithm described in the paper "Dynamic filtering of time-varying sparse signals via L1 minimization"
MATLAB implementation of the Earth Mover's Distance Dynamic Filtering (EMD-DF) algorithm from Bertrand et al., 2018
Code for "Generative causal explanations of black-box classifiers"
Hierarchical Wasserstein Alignment
Code supplement for "Active Ordinal Querying for Tuplewise Similarity Learning", appearing in AAAI 2020
Code to produce the results in the paper "Modeling biologically realistic inhibitory interneurons in sensory coding models" in PLoS Computational Biology (2015) by Zhu and Rozell. Code by M. Zhu.
Sparse dictionary learning with biologically plausible compression matrices
Code for "Representing Closed Transformation Paths in Encoded Network Latent Space"
Project code for "Active Embedding Search via Noisy Paired Comparisons" (ICML 2019)
Probabilistic Decomposed Linear Dynamical Systems
Code to implement the sparse coding dictionary learning algorithm described in "Emergence of simple-cell receptive field properties by learning a sparse code for natural images" in Nature (1996) by Olshausen and Field.
Code to implement the algorithm described in the paper "Spectral super-resolution of hyperspectral imagery using re-weighted L1 spatial filtering" in IEEE GRSL (2014) by Charles and Rozell. Code by A. Charles.
Lightweight package for computing the kernel LFP approximation from TeleΕczuk et al., 2020
Code to produce the results in the paper "Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs" by Balavoine, Rozell and Romberg. Code by A. Balavoine.
Implementation of unbalanced optimal transport algorithms for infrared search and track from Bertrand et al., 2020
Code for "Unbalanced Optimal Transport Regularization for Imaging Problems" by Lee, Bertrand, and Rozell.
Code for "Variational Autoencoder with Learned Latent Structure"
Lightweight package for computing the Weighted Sum of synaptic currents LFP proxy from Mazzoni, LindΓ©n et al., 2015
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.