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DAVIDSTUTZ

CATEGORY»OPEN SOURCE;MACHINE LEARNING AND COMPUTER VISION«

13thNOVEMBER2022

PROJECT

An example of a custom TensorFlow operation implemented in C++.

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07thNOVEMBER2022

PROJECT

A C++ implementation of density forests.

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07thNOVEMBER2022

PROJECT

Torch/CUDA implementation of batch normalization for OctNets.

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06thNOVEMBER2022

PROJECT

The Berkeley Segmentation Benchmark extended by superpixel metrics.

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06thNOVEMBER2022

PROJECT

OPEN SOURCE blenderpy Mesh/Voxel Visualization Figure 1 (click to enlarge): Visualization examples of an occupancy grid (left) and a mesh (right) of a chair. The right visualization also shows a point cloud observation (in red). Blender is an open-source “3D creation suite” — a tool for creating and manipulating 3D shapes and scenes. While I […]

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06thNOVEMBER2022

PROJECT

Tools to pre-process the NYU Depth v2 segmentations for evaluation.

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18thAUGUST2022

PROJECT

Examples, tools and resources for using Caffe’s Python interface pyCaffe.

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17thAUGUST2022

PROJECT

A template for extending PyTorch using C/CUDA operations.

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17thAUGUST2022

PROJECT

Basic and advanced torch examples, template for implementing custom C/CUDA modules and implementations of variational auto-encoders.

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16thAUGUST2022

PROJECT

Python implementation of probabilistic principal component analysis (PPCA).

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