hyang428

hyang428

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hyang428's repositories

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

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cuda_voxelizer

Experimental CUDA voxelizer, to convert polygon meshes to annotated voxel grids.

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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facenet

Face recognition using Tensorflow

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fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

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Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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Machine-Learning-Session

PRML notes and online sessions

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ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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numpy-ml

Machine learning, in numpy

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octnet

OctNet: Learning Deep 3D Representations at High Resolutions

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openface

Face recognition with deep neural networks.

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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PRML

PRML algorithms implemented in Python

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pyBN

Bayesian Networks in Python

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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siamese_tf_mnist

Implementing Siamese Network using Tensorflow with MNIST

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tensorflow-102

learn code with tensorflow

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tensorflow-exercises

TensorFlow Exercises - focusing on the comparison with NumPy.

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tensorflow-fast-neuralstyle

Tensorflow implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution."

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tflearn

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

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time_series_augmentation

An example of time series augmentation methods with Keras

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UnFlow

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

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vat_tf

Virtual adversarial training with Tensorflow

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