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:book: [译] Sklearn 与 TensorFlow 机器学习实用指南
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
辅助拍摄app
paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network
家庭媒体管理应用
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image compression base on deep learning
my image super resolution project.
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
Teach girfriend python on ipad with Mybinder ! hahaha
🚀 KIMI AI 长文本大模型逆向API白嫖服务【特长:长文本解读整理】,支持高速流式输出、联网搜索、长文档解读、图像解析、多轮对话,零配置部署,多路token支持,自动清理会话痕迹。
Image Polygonal Annotation with Python.
An open source library for face detection in images. The face detection speed can reach 1500FPS.
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
human matting on mobile phone
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Try to implement deeplab v3+ on pytorch according to offical demo.