From e912981eeaa0c1c7f0eca5cbbe2fd8ef6f378b99 Mon Sep 17 00:00:00 2001 From: Alex Auvolat Date: Fri, 7 Aug 2015 12:02:04 -0400 Subject: Fix readme --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 1371131..c0cd20c 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,12 @@ -Code of the winning entry to the Kaggle ECML/PKDD destination competition(https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i). Our approach is described there: http://arxiv.org/abs/1508.00021 +Code of the winning entry to the [Kaggle ECML/PKDD taxi destination competition](https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i). Our approach is described in [our paper](http://arxiv.org/abs/1508.00021). ## Dependencies We used the following packages developped at the MILA lab: -* Theano. A general GPU-accelerated python math library, with an interface similar to numpy (see [3, 4]). http://deeplearning.net/software/theano/ -* Blocks. A deep-learning and neural network framework for Python based on Theano. As Blocks evolves very rapidly, we suggest you use commit `1e0aca9171611be4df404129d91a991354e67730`, which we had the code working on. https://github.com/mila-udem/blocks -* Fuel. A data pipelining framework for Blocks. Same that for Blocks, we suggest you use commit `ed725a7ff9f3d080ef882d4ae7e4373c4984f35a`. https://github.com/mila-udem/fuel +* Theano. A general GPU-accelerated python math library, with an interface similar to numpy (see [3, 4]). See +* Blocks. A deep-learning and neural network framework for Python based on Theano. As Blocks evolves very rapidly, we suggest you use commit `1e0aca9171611be4df404129d91a991354e67730`, which we had the code working on. See +* Fuel. A data pipelining framework for Blocks. Same that for Blocks, we suggest you use commit `ed725a7ff9f3d080ef882d4ae7e4373c4984f35a`. See We also used the scikit-learn Python library for their mean-shift clustering algorithm. numpy, cPickle and h5py are also used at various places. @@ -50,4 +50,4 @@ Note that some script expect the repository to be in your PYTHONPATH (go to the When running the training script, set the following Theano flags environment variable to exploit GPU parallelism: `THEANO_FLAGS=floatX=float32,device=gpu,optimizer=fast_run` -*More information in this pdf: https://github.com/adbrebs/taxi/blob/master/doc/short_report.pdf* +*More information in [this pdf](https://github.com/adbrebs/taxi/blob/master/doc/short_report.pdf)* -- cgit v1.2.3