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Mahesh Khadatare's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cmake_example icon cmake_example

Example pybind11 module built with a CMake-based build system

cuda icon cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-convnet2 icon cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cudasift icon cudasift

A CUDA implementation of SIFT for NVidia GPUs (2.6 ms on a GTX 1060)

cudnn-training icon cudnn-training

A CUDNN minimal deep learning training code sample using LeNet.

har_rproject icon har_rproject

Human Activity Recognition - Predicting weight-lifting styles

imagecodecs icon imagecodecs

Image transformation, compression, and decompression codecs. Forked from https://pypi.org/project/imagecodecs

models icon models

Models and examples built with TensorFlow

nupar-bench icon nupar-bench

Automatically exported from code.google.com/p/nupar-bench

openjph icon openjph

Open-source implementation of JPEG2000 Part-15 (or JPH or HTJ2K)

swift icon swift

The Swift Programming Language

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

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