Keep Growing And Moving Forward (zcdliuwei)

zcdliuwei

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Company:Small Design

Location:HangZhou in China

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Keep Growing And Moving Forward's repositories

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imgaug

Image augmentation for machine learning experiments.

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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HCMVcc_MaskRCNN

Mask-RCNN for the classification and segmentation of HCMV infection (Matterport, Tensorflow 2.0)

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Awesome-Tensorflow2

基于Tensorflow2开发的优秀扩展包及项目

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Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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Brain-Tumor-Segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

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bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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eat_tensorflow2_in_30_days

Tensorflow2.0 is delicious, just eat it!

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Introduction-NLP

HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

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a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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DeepRecommender

Deep learning for recommender systems

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tensorflow2_tutorials_chinese

tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials

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Tips-of-Feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

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tensorflow-serving-yolov3

主要对原tensorflow版本算法进行了网络修改,显示调整,数据处理等细节优化,详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集(非80类中的一类),mAP为97.51,FPS在1080上测试15-20帧!

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tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

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tf2rl

TensorFlow2.0 Reinforcement Learning

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TensorFlow2.0-Examples

🙄 difficult algorithm, simple code.

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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models

Models and examples built with TensorFlow

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d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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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

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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DeepLabV3_Plus-Tensorflow2.0

DeepLabV3+ implemented in TensorFlow2.0

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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。

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