CATEGORY»OPEN SOURCE;MACHINE LEARNING AND COMPUTER VISION«

18^thAUGUST2022

C++ CAFFE DEEP LEARNING MACHINE LEARNING PYTHON

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

17^thAUGUST2022

C CUDA DEEP LEARNING MACHINE LEARNING PYTHON PYTORCH

A template for extending PyTorch using C/CUDA operations.

17^thAUGUST2022

C COMPUTER VISION CUDA DEEP LEARNING LUA MACHINE LEARNING TORCH

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

16^thAUGUST2022

MACHINE LEARNING MATHEMATICS PYTHON

Python implementation of probabilistic principal component analysis (PPCA).

16^thAUGUST2022

C++ COMPUTER VISION CUDA DEEP LEARNING MACHINE LEARNING PYTHON

3D mesh fusion, voxelization and evaluation for computer vision research.

IAM