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liushuan's Projects

3ddfa icon 3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

amemv-crawler icon amemv-crawler

🙌Easily download all the videos from TikTok(amemv).下载指定的 抖音(Douyin) 号的视频,抖音爬虫

amsoftmax icon amsoftmax

A simple yet effective loss function for face verification.

caffe icon caffe

Caffe: a fast open framework for deep learning.

ccpd icon ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

convlstm-pytorch icon convlstm-pytorch

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

csr-dcf icon csr-dcf

Discriminative Correlation Filter with Channel and Spatial Reliability

darknet icon darknet

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

darknet2caffe_py35 icon darknet2caffe_py35

darknet转caffe 使用 python3.5 , 编译caffe使用CPU编译,同时增加UpSample层

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deeplearning-500-questions icon 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,近30万字。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

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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