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w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
cuda implementation of a matmul operation with shared memory, as a tensorflow kernel -for reference.
Blender Environment for Gym (work in progress)
3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)
Stereo convolutional neural network for depth map prediction from stereo images
Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.
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