maheshkha
Aiming to apply professional experience of scientific research & software development using image processing, machine learning & computer vision, in the product
Santa Clara, CA
Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
CBIR_Wavelet_Log_MATLAB
CBIR with wavelet transform and feedback relevance using matlab
cmake_example
Example pybind11 module built with a CMake-based build system
community-sdk
Emotiv SDK Community Edition
CPP_ImageProcessing
Basic Image Processing Operations
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.
ImageSegmentation
C# based Image Segmentation for Tiff Images
SAR_IMAGE_GPU
CUDA Code for SAR Image Processing
Stationary-wavelet-transform-csharp
Stationary Wavelet Transform (SWT) in C# matching with MATLAB SWT Time Invariant
maheshkha's Repositories
maheshkha/SAR_IMAGE_GPU
CUDA Code for SAR Image Processing
maheshkha/ImageSegmentation
C# based Image Segmentation for Tiff Images
maheshkha/Stationary-wavelet-transform-csharp
Stationary Wavelet Transform (SWT) in C# matching with MATLAB SWT Time Invariant
maheshkha/caffe
Caffe: a fast open framework for deep learning.
maheshkha/CBIR_Wavelet_Log_MATLAB
CBIR with wavelet transform and feedback relevance using matlab
maheshkha/cmake_example
Example pybind11 module built with a CMake-based build system
maheshkha/community-sdk
Emotiv SDK Community Edition
maheshkha/CPP_ImageProcessing
Basic Image Processing Operations
maheshkha/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.
maheshkha/cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
maheshkha/CudaSift
A CUDA implementation of SIFT for NVidia GPUs (2.6 ms on a GTX 1060)
maheshkha/cudnn-training
A CUDNN minimal deep learning training code sample using LeNet.
maheshkha/darknet
Convolutional Neural Networks
maheshkha/ElasticFusion
Real-time dense visual SLAM system
maheshkha/Face_Recognition_Neural_Network_MATLAB
Face Recognition Neural Network MATLAB
maheshkha/Hand-Gesture-Recognition-using-Neural-Network
Hand Gesture Recognition using Neural Network in MATLAB
maheshkha/imagecodecs
Image transformation, compression, and decompression codecs. Forked from https://pypi.org/project/imagecodecs
maheshkha/IRIS_GAZE_tracking_neural_network_MATLAB
IRIS Gaze Tracking using Neural Network in MATLAB
maheshkha/Machine-Learning-matlab-assignments
MATLAB based Machine Learning assignments
maheshkha/maheshkha.github.io
maheshkha/models
Models and examples built with TensorFlow
maheshkha/mongo
The MongoDB Database
maheshkha/nupar-bench
Automatically exported from code.google.com/p/nupar-bench
maheshkha/OpenJPH
Open-source implementation of JPEG2000 Part-15 (or JPH or HTJ2K)
maheshkha/Parallel-Banding-Algorithm-plus
Compute the exact Euclidean Distance Transform and Voronoi Diagram for 2D and 3D binary images using the GPU.
maheshkha/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
maheshkha/swift
The Swift Programming Language
maheshkha/tensorflow
Computation using data flow graphs for scalable machine learning
maheshkha/TensorFlow-gpu-GTX1080
TensorFlow CUDA 8.0 CuDNN6.0 Performance CPU/GPU
maheshkha/torchnvjpeg
Decode JPEG image on GPU using PyTorch