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actionai

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

adet

AdelaiDet is an open source toolbox for multiple instance-level detection applications.

anynet

Anytime Stereo Image Depth Estimation on Mobile Devices (ICRA 2019)

ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2).

cag_uda

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

cameraradarfusionnet

catdog

centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

codebase-segmentation-pytorch

My personal codebase for segmentation tasks.

cornernet-lite

cv-papers-codes

CV 方向论文阅读以及手写代码实现

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-study

Study of HeXA@UNIST in Preparation for Submission

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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-models

A collection of various deep learning architectures, models, and tips