Thank you for your suggestions; what I've interested in is using ML for financial time series prediction such as stock price movement forecasting for pattern matching for trading.
On Wed, Mar 27, 2013 at 1:27 AM, Andrei Barbu <and...@0xab.com> wrote: > On Mon, Mar 25, 2013 at 11:18 PM, Sungjin Chun <chu...@gmail.com> wrote: > > What I've found are (for chicken scheme): > > 1. libsvm > > 2. fann > > Are you looking for anything in particular? > > I do AI/machine-learning/robotics/computer-vision research using > scheme->c and chicken. I've got lots of code that I haven't yet ported > to chicken so I might have what you're looking for. > > You might be interested in > https://github.com/abarbu/AD > computes derivatives of programs, useful if you're optimizing a hairy > cost function > https://github.com/abarbu/csp > solves constraint satisfaction problems > > There are a few AI-related eggs that I haven't yet officially released: > https://github.com/abarbu/nlopt > provides bindings to nlopt, which is a great library for non-linear > optimization > https://github.com/abarbu/matlab-chicken > give you access to a huge library of code > https://github.com/abarbu/ccv-chicken > ccv is a state-of-the-art computer vision library > https://github.com/abarbu/stochastic-discrete > performs inference on probabilistic programs whose support is > discrete, so if you've got a graphical model with discrete > distributions this should be useful > https://github.com/abarbu/matplotlib > bindings to python's matplotlib so you can actually see what's going on > > > > Andrei >
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