codes-kzhan's repositories

AdversarialNetsPapers

The classical paper list with code about generative adversarial nets

Stargazers:0Issues:2Issues:0

Autofocus-Layer

Autofocus Layer for Semantic Segmentation

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

License:MITStargazers:0Issues:1Issues:0

Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Stargazers:0Issues:2Issues:0

DANet

Dual Attention Network for Scene Segmentation

Language:PythonLicense:NOASSERTIONStargazers:0Issues:2Issues:0

DataScienceResources

Open Source Data Science Resources.

Stargazers:0Issues:1Issues:0

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

Language:PythonLicense:NOASSERTIONStargazers:0Issues:2Issues:0

Deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

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15个章节,近20万字。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

Stargazers:0Issues:1Issues:0

dfn_seg

Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)

Language:PythonStargazers:0Issues:0Issues:0

free-data-science-books

Free resources for learning data science

License:UnlicenseStargazers:0Issues:1Issues:0

gans-awesome-applications

Curated list of awesome GAN applications and demo

Stargazers:0Issues:2Issues:0
Language:MatlabStargazers:0Issues:1Issues:0

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:2Issues:0

lisa

Coputer-assisted liver surgery.

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:2Issues:0

Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

License:MITStargazers:0Issues:1Issues:0

pycm

Multi-class confusion matrix library in Python.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

safe_learning

Safe reinforcement learning with stability guarantees

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

sd-maskrcnn

Code for SD Mask R-CNN Project

Language:MakefileLicense:NOASSERTIONStargazers:0Issues:2Issues:0

semseg

Common Semantic Segmentation Architectures

Language:PythonStargazers:0Issues:2Issues:0

spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

TD

Complementary code for the Targeted Dropout paper

Language:PythonStargazers:0Issues:1Issues:0

UFDN

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

Language:PythonLicense:MITStargazers:0Issues:2Issues:0