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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

adaptivewingloss

[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation

adelaidet_vos

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

agriculture-vision

Agriculture-Vision Dataset, Challenge and Workshop (CVPR 2020)

ai-terminology-page

The English-Chinese paired terminologies in Artificial Intelligence Domain

ants

Advanced Normalization Tools (ANTs)

apsimclient-python

An implementation of APSIM(APSIM Next Generation, a crop model) Client for the Python programming language.

artificial-intelligence-terminology

The English-Chinese paired terminologies in Artificial Intelligence Domain

awesome-pyqt-cn

PyQt/PySide 中文开发者必备资料合集

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

barrier

Open-source KVM software

beanstalkc

A simple beanstalkd client library for Python

code4work

conv_arithmetic

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

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

cvpr2020-videomodeling-deployment

Materials for demonstrating video model deployment

darknet

Convolutional Neural Networks

davis2017-evaluation

Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdream

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation