IAM

OPENSOURCEFAN STUDYING
STUDYINGCOMPUTERSCIENCEANDMATH COMPUTERSCIENCE

Check out the latest superpixel benchmark — Superpixel Benchmark (2016) — and let me know your opinion! @david_stutz

TAG»PYTHON«

15thAPRIL2017

SNIPPET

Visualizing 3D occupancy volumes in Python using either Mayavi or mplot3d.

Interested?

13thAPRIL2017

SNIPPET

Reading and writing triangular meshes from .off files in Python.

Interested?

24thFEBRUARY2017

SNIPPET

A simple implementation of batch normalization in Tensorflow. Note that the implementation is meant for training — i.e. for testing on individual samples, the mean and variance should be fixed in advance. Also note that tf.nn.moments is replaced by a custom method for computing mean and variance to avoid the problem described here.

Interested?

23thFEBRUARY2017

SNIPPET

In specific cases, tf.nn.moments cannot be run on the GPU (see here). This is problematic when training (convolutional) neural networks where moments are part of the computation graph (e.g. for normalization). This snippet is a simple work around, computing mean and variance along the provided dimensions manually.

Interested?

19thFEBRUARY2017

SNIPPET

Following the Theano documentation, this snippet illustrates the creation of a new Theano type, namely the Double type. Based on this type, the add operation is implemented. Originally, I intended this as a quick tutorial on how to define more complex types with differentiable operations. However, as also discussed here, this turned out to be more involved than expected.

Interested?

17thFEBRUARY2017

SNIPPET

Following the PyTorch documentation, this snippet illustrates how to extend PyTorch by manually adding a linear neural network module. The example includes the linear module as discussed in the documentation and an example application on linearly separable data.

Interested?

16thFEBRUARY2017

SNIPPET

Slightly adapted example for adding new operations in Tensorflow taken from the official documentation. The files should be copied to tensorflow/core/user_ops. The new operation is compiled using bazel build -c opt //tensorflow/core/user_ops:zero_out.so from the Tensorflow root. The generated .so file can usually be found by searching bazel-bin. This code does not include the corresponding gradient function yet.

Interested?

13thFEBRUARY2017

SNIPPET

Naive implementation of reading and writing CSV files in Python.

Interested?

ARTICLE

Implementing Tensorflow Operations in C++ — Including Gradients

In this article, I discuss a simple Tensorflow operation implemented in C++. While the example mostly builds upon the official documentation, it includes trainable parameters and the gradient computation is implemented in C++, as well. As such, the example is slightly more complex compared to the simple ZeroOut operation discussed in the documentation.

Interested?

ARTICLE

Setting up Sphinx to Document Python Projects

Sphinx is a Python documentation tool that allows to automatically create clear documentation by parsing Python docstrings. The documentation can further be complemented using reStructuredText — a markup language similar to Markdown. This article gives a brief overview of setting up Sphinx on Ubuntu.

Interested?