- 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 2
- design 3
- emergence 4
- games 2
- gpu 5
- information theory 9
- mac 2
- machine learning 8
- meta learning 1
- networks 3
- nlp 1
- nonlinear systems 7
- philosophy 1
- physics 10
- python 15
- stochastic calculus 12
- transformers 1
- web 4

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

- 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

- 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

- 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

- 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

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

- 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

- 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

- 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

- 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

- 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

- Information Retrieval with Deep Neural Models - June 02, 2020
- Towards improved generalization in few-shot classification - December 07, 2019

- 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

- 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

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

- 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

- 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

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

- Information Retrieval with Deep Neural Models - June 02, 2020
- Towards improved generalization in few-shot classification - December 07, 2019
- 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

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

- 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

- Information Retrieval with Deep Neural Models - June 02, 2020

- 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
- Rays for android - March 11, 2013
- Simulating networks of nonlinear stochastic systems - January 26, 2013

- Opening the labs again - January 19, 2013

- 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

- 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

- 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

- Information Retrieval with Deep Neural Models - June 02, 2020

- 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