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kanatazhan's Projects

average_portrait icon average_portrait

Uses openCV and Dlib to automatically align portraits in python, visualizing it out using p5.js

capsnet-keras icon capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.

carc icon carc

Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

learningtocompare_fsl icon learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mgan icon mgan

Masking GAN - Image attribute mask generation

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models icon models

Models and examples built with TensorFlow

sphereface icon sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

sphereface-1 icon sphereface-1

This is a MNIST Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

stargan icon stargan

PyTorch Implementation of StarGAN - CVPR 2018

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tf.extra_losses icon tf.extra_losses

Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow

tflearn icon tflearn

Deep learning library featuring a higher-level API for TensorFlow.

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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