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w-net
w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.DepthMap_dataset
Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.StereoConvNet
Stereo convolutional neural network for depth map prediction from stereo imagesDSB17_3d_lung_nodule_classifier
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%)MC_DCNN
Multi channel deep convolutional neural network for time series classificationgym-blender
Blender Environment for Gym (work in progress)3D_scanner
blender python script to receive and process data from an arduino/lidar/mpu6050 based 3D_scannerwikipedia_classifier
wikipedia category scrapper, and SVM classifierVirtual_car
This project proposes to use a convolutional Neural network to control a Self-driving car in virtual environment generated by the Blender Game Engine.cuda_kernel_tensorflow
cuda implementation of a matmul operation with shared memory, as a tensorflow kernel -for reference.RemotePresence
Remote presence with the Oculus Rift DK1 headset, Arduino, stereo webcams and a python interface.Love Open Source and this site? Check out how you can help us