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akangman33's Projects

dive-into-dl-tensorflow2.0 icon dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意

efficientdet icon efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientnet icon efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

everydaywechat icon everydaywechat

微信助手:1.每日定时给好友(女友)发送定制消息。2.机器人自动回复好友。3.群助手功能(例如:查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5等)

handcalcs icon handcalcs

Python library for converting Python calculations into rendered latex.

hello-algorithm icon hello-algorithm

🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star,加入我们万人学习群!English Supported!

imgaug icon imgaug

Image augmentation for machine learning experiments.

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

keras-centernet icon keras-centernet

CenterNet (Objects as Points) implementation in Keras and Tensorflow

keras-fcos icon keras-fcos

FCOS (Fully Convolutional One-Stage Object Detection) implementation in Keras and Tensorflow

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gaussianyolov3 icon keras-gaussianyolov3

Gaussian YOLOv3 (An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)) implementation in Keras and Tensorflow

keras-resources icon keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-yolov3-model-set icon keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

machine-learning-course icon machine-learning-course

:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

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