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Seyyed Hossein Hasanpour's Projects

caffe_multilabel_classification icon caffe_multilabel_classification

This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.

capsnet icon capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

capsnet-keras icon capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now Val_acc>99.5%.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cdcn icon cdcn

Central Difference Convolutional Networks

cifar10_augmented_leveldb_dataset icon cifar10_augmented_leveldb_dataset

This is the CIFAR10 augmented dataset in LevelDB format to be used with Caffe. The augmentation is done according to the Stochastic_depth Paper

clifs icon clifs

Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine-learning model CLIP

clip icon clip

Contrastive Language-Image Pretraining

cnn-2 icon cnn-2

This is a matlab-code implementation of convolutional neural network

cntk icon cntk

Computational Network Toolkit (CNTK)

coco icon coco

MS COCO API - http://mscoco.org/

color-console icon color-console

A lightweight header-only C++ library to bring colors to your Windows /Linux console with a very-easy-to-use API.

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cpprestsdk icon cpprestsdk

The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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