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yxpandjay's Projects

nniefacelib icon nniefacelib

nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pai icon pai

Resource scheduling and cluster management for AI

ppl.nn icon ppl.nn

A primitive library for neural network

putongoj icon putongoj

Putong Online Judge -- An online judge with nothing special

pyg2plot icon pyg2plot

🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

pysot icon pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

python icon python

All Algorithms implemented in Python

pytorch-grad-cam icon pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

rapidocr icon rapidocr

A cross platform OCR Library based on PaddleOCR & OnnxRuntime

retinaface-tf2 icon retinaface-tf2

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

siammask icon siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

stb icon stb

stb single-file public domain libraries for C/C++

stylegan icon stylegan

StyleGAN - Official TensorFlow Implementation

tengine icon tengine

A distribution of Nginx with some advanced features

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-2.x-tutorials icon 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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