sankaushik

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Bangalore, India

Sandeep Kaushik's starred repositories

node-tensorflow

Node-tensorflow is a NodeJS API for utilizing Google's machine learning library TensorFlow.

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tensorflow-cmake

Integrate TensorFlow with CMake projects effortlessly

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tensorflow-cpp

Image classification C++ example using tensorflow shared library

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x11docker

Run GUI applications and desktops in docker and podman containers. Focus on security.

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pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

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deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

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Super-Resolution-using-Generative-Adversarial-Networks

An implementation of SRGAN model in Keras

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SRGAN

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

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NonLocalSuperResolutionExample

Cuando calienta el sol

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vess2ret

A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.

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keras-adversarial

Keras Generative Adversarial Networks

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keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

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antsRegistrationWithMaskExample

If you're going to play in Texas you gotta have a fiddler in the band.

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keras-contrib

Keras community contributions

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models

Models and examples built with TensorFlow

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pyzernikemoment

A python module to find the Zernike moments for an N x N binary ROI.

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mindboggle

Automated anatomical brain label/shape analysis software (+ website)

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neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

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keras-extras

Extra batteries for Keras

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keras_experiments

Experimental Keras libraries and examples.

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dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

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dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning - Fork of eickenberg (included caffe) in turn fork of Deep-Learning-Paris-Meetup

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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deep-learning-models

Keras code and weights files for popular deep learning models.

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keras-resnet

Residual networks implementation using Keras-1.0 functional API

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mifs

Parallelized Mutual Information based Feature Selection module.

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keras-js

Run Keras models in the browser, with GPU support using WebGL

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