Tags

ai 2
android 3
bayesian 10
biology 3
biophysics 7
brain 2
code 25
complex dynamics 3
complex systems 7
computing 5
data analysis 8
deep learning 3
design 3
emergence 4
games 2
gpu 5
information theory 9
mac 2
machine learning 9
meta learning 1
networks 3
nlp 2
nonlinear systems 7
philosophy 1
physics 10
python 15
stochastic calculus 12
transformers 2
web 4

Posts tagged with ai

Neuromorphic computing - March 13, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with android

Pinch to zoom in libgdx - February 15, 2014
A lovely new minesweeper on android I made - December 11, 2013
Rays for android - March 11, 2013

Posts tagged with bayesian

Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
Quick introduction to gaussian mixture models with python - April 03, 2014
The link between thermodynamics and inference - January 29, 2014
Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Maximum entropy: a primer and some recent applications - January 15, 2014
Kernel density estimation - July 20, 2013
An introduction to smoothing time series in python. Part IV: Particle Filter - July 16, 2013
An introduction to smoothing time series in python. Part III: Kalman Filter - June 25, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with biology

Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Simulating tissues with pressure - July 07, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with biophysics

Simple pattern formation with cellular automata - February 11, 2014
Automatic segmentation of microscopy images - November 05, 2013
How to simulate a model for a genetic oscillator - October 25, 2013
Simulating tissues with pressure - July 07, 2013
Preprint review: Parameter Space Compression Underlies Emergent Theories and Predictive Models - May 25, 2013
Modeling excitable media with cellular automata - April 17, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013

Posts tagged with brain

Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Neuromorphic computing - March 13, 2013

Posts tagged with code

Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
Parallel programming with opencl and python: parallel scan - June 23, 2014
Parallel programming with opencl and python: parallel reduce - June 16, 2014
Parallel programming with opencl and python: vectors and concurrency - May 25, 2014
Parallel programming with opencl and python - April 28, 2014
Quick introduction to gaussian mixture models with python - April 03, 2014
An introduction to the metropolis method with python - February 24, 2014
Pinch to zoom in libgdx - February 15, 2014
How to do inverse transformation sampling in scipy and numpy - December 16, 2013
A lovely new minesweeper on android I made - December 11, 2013
Automatic segmentation of microscopy images - November 05, 2013
How to import structured matlab data into python with scipy - November 01, 2013
How to simulate a model for a genetic oscillator - October 25, 2013
Solving stochastic differential equations with theano - October 17, 2013
Implementing a recurrent neural network in python - October 10, 2013
An introduction to smoothing time series in python. Part IV: Particle Filter - July 16, 2013
Simulating tissues with pressure - July 07, 2013
An introduction to smoothing time series in python. Part III: Kalman Filter - June 25, 2013
Using Beautiful Soup to convert Springpad notes to Evernote - April 11, 2013
An introduction to smoothing time series in python. Part II: wiener filter and smoothing splines - April 09, 2013
An introduction to smoothing time series in python. Part I: filtering theory - April 05, 2013
Rays for android - March 11, 2013
Creating an application for mac - February 05, 2013
Porting the rays app to processing.js - February 03, 2013
SASS is awesome and you should use it - February 02, 2013

Posts tagged with complex dynamics

Simple pattern formation with cellular automata - February 11, 2014
Preprint review: Parameter Space Compression Underlies Emergent Theories and Predictive Models - May 25, 2013
Modeling excitable media with cellular automata - April 17, 2013

Posts tagged with complex systems

Simple pattern formation with cellular automata - February 11, 2014
Solving stochastic differential equations with theano - October 17, 2013
Simulating tissues with pressure - July 07, 2013
Modeling excitable media with cellular automata - April 17, 2013
Neuromorphic computing - March 13, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with computing

Parallel programming with opencl and python - April 28, 2014
Automatic segmentation of microscopy images - November 05, 2013
An introduction to smoothing time series in python. Part III: Kalman Filter - June 25, 2013
Using Beautiful Soup to convert Springpad notes to Evernote - April 11, 2013
Neuromorphic computing - March 13, 2013

Posts tagged with data analysis

Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
How to fix scipys interpolating spline default behavior - April 12, 2014
Quick introduction to gaussian mixture models with python - April 03, 2014
Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
How to do inverse transformation sampling in scipy and numpy - December 16, 2013
Gamma distribution approximation to the negative binomial distribution - December 01, 2013
Negative binomial with continuous parameters in python - November 11, 2013
How to import structured matlab data into python with scipy - November 01, 2013

Posts tagged with deep learning

Fine-tune neural translation models with mBART - June 10, 2020
Information Retrieval with Deep Neural Models - June 02, 2020
Towards improved generalization in few-shot classification - December 07, 2019

Posts tagged with design

A lovely new minesweeper on android I made - December 11, 2013
Facelift - October 06, 2013
SASS is awesome and you should use it - February 02, 2013

Posts tagged with emergence

Simple pattern formation with cellular automata - February 11, 2014
Simulating tissues with pressure - July 07, 2013
Preprint review: Parameter Space Compression Underlies Emergent Theories and Predictive Models - May 25, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with games

A lovely new minesweeper on android I made - December 11, 2013
Rays for android - March 11, 2013

Posts tagged with gpu

Parallel programming with opencl and python: parallel scan - June 23, 2014
Parallel programming with opencl and python: parallel reduce - June 16, 2014
Parallel programming with opencl and python: vectors and concurrency - May 25, 2014
Solving stochastic differential equations with theano - October 17, 2013
Implementing a recurrent neural network in python - October 10, 2013

Posts tagged with information theory

Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
Quick introduction to gaussian mixture models with python - April 03, 2014
The link between thermodynamics and inference - January 29, 2014
Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Maximum entropy: a primer and some recent applications - January 15, 2014
Kernel density estimation - July 20, 2013
An introduction to smoothing time series in python. Part IV: Particle Filter - July 16, 2013
An introduction to smoothing time series in python. Part I: filtering theory - April 05, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with mac

Parallel programming with opencl and python: vectors and concurrency - May 25, 2014
Creating an application for mac - February 05, 2013

Posts tagged with machine learning

Fine-tune neural translation models with mBART - June 10, 2020
Information Retrieval with Deep Neural Models - June 02, 2020
Towards improved generalization in few-shot classification - December 07, 2019
Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
Quick introduction to gaussian mixture models with python - April 03, 2014
Automatic segmentation of microscopy images - November 05, 2013
Implementing a recurrent neural network in python - October 10, 2013
Kernel density estimation - July 20, 2013
Information processing systems post-mortem - January 25, 2013

Posts tagged with meta learning

Towards improved generalization in few-shot classification - December 07, 2019

Posts tagged with networks

Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Simulating tissues with pressure - July 07, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013

Posts tagged with nlp

Fine-tune neural translation models with mBART - June 10, 2020
Information Retrieval with Deep Neural Models - June 02, 2020

Posts tagged with nonlinear systems

Simple pattern formation with cellular automata - February 11, 2014
Solving stochastic differential equations with theano - October 17, 2013
Simulating tissues with pressure - July 07, 2013
Preprint review: Parameter Space Compression Underlies Emergent Theories and Predictive Models - May 25, 2013
Modeling excitable media with cellular automata - April 17, 2013
Rays for android - March 11, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013

Posts tagged with philosophy

Opening the labs again - January 19, 2013

Posts tagged with physics

An introduction to the metropolis method with python - February 24, 2014
Simple pattern formation with cellular automata - February 11, 2014
Pilot waves in fluid dynamics - February 05, 2014
The link between thermodynamics and inference - January 29, 2014
Review of Searching for Collective Behavior in a Large Network of Sensory Neurons - January 22, 2014
Maximum entropy: a primer and some recent applications - January 15, 2014
How to import structured matlab data into python with scipy - November 01, 2013
How to simulate a model for a genetic oscillator - October 25, 2013
Simulating tissues with pressure - July 07, 2013
Preprint review: Parameter Space Compression Underlies Emergent Theories and Predictive Models - May 25, 2013

Posts tagged with python

Dimensionality reduction 101: linear algebra, hidden variables and generative models - April 13, 2015
Parallel programming with opencl and python: parallel scan - June 23, 2014
Parallel programming with opencl and python: parallel reduce - June 16, 2014
Parallel programming with opencl and python: vectors and concurrency - May 25, 2014
Parallel programming with opencl and python - April 28, 2014
How to fix scipys interpolating spline default behavior - April 12, 2014
Quick introduction to gaussian mixture models with python - April 03, 2014
An introduction to the metropolis method with python - February 24, 2014
How to do inverse transformation sampling in scipy and numpy - December 16, 2013
Negative binomial with continuous parameters in python - November 11, 2013
How to import structured matlab data into python with scipy - November 01, 2013
How to simulate a model for a genetic oscillator - October 25, 2013
Solving stochastic differential equations with theano - October 17, 2013
Implementing a recurrent neural network in python - October 10, 2013
Simulating tissues with pressure - July 07, 2013

Posts tagged with stochastic calculus

The link between thermodynamics and inference - January 29, 2014
Maximum entropy: a primer and some recent applications - January 15, 2014
How to do inverse transformation sampling in scipy and numpy - December 16, 2013
Gamma distribution approximation to the negative binomial distribution - December 01, 2013
How to simulate a model for a genetic oscillator - October 25, 2013
Solving stochastic differential equations with theano - October 17, 2013
Kernel density estimation - July 20, 2013
An introduction to smoothing time series in python. Part IV: Particle Filter - July 16, 2013
An introduction to smoothing time series in python. Part III: Kalman Filter - June 25, 2013
An introduction to smoothing time series in python. Part II: wiener filter and smoothing splines - April 09, 2013
An introduction to smoothing time series in python. Part I: filtering theory - April 05, 2013
Simulating networks of nonlinear stochastic systems - January 26, 2013

Posts tagged with transformers

Fine-tune neural translation models with mBART - June 10, 2020
Information Retrieval with Deep Neural Models - June 02, 2020

Posts tagged with web

Simple pattern formation with cellular automata - February 11, 2014
Facelift - October 06, 2013
Using Beautiful Soup to convert Springpad notes to Evernote - April 11, 2013
SASS is awesome and you should use it - February 02, 2013