Keep Growing And Moving Forward's repositories
DeepLabV3_Plus-Tensorflow2.0
DeepLabV3+ implemented in TensorFlow2.0
yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Awesome-Tensorflow2
基于Tensorflow2开发的优秀扩展包及项目
bert-for-tf2
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
Brain-Tumor-Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
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。
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
deep-learning-resources
由淺入深的深度學習資源 Collection of deep learning materials for everyone
DeepRecommender
Deep learning for recommender systems
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。
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
eat_tensorflow2_in_30_days
Tensorflow2.0 is delicious, just eat it!
HCMVcc_MaskRCNN
Mask-RCNN for the classification and segmentation of HCMV infection (Matterport, Tensorflow 2.0)
Image-processing-algorithm
paper implement
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。
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
models
Models and examples built with TensorFlow
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。
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！
tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
tf2rl
TensorFlow2.0 Reinforcement Learning
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!